diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index b858a0f7..cf68ff9c 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -24,7 +24,7 @@ jobs: python -m pytest --cov=application --cov-report=xml - name: Upload coverage reports to Codecov if: github.event_name == 'pull_request' && matrix.python-version == '3.11' - uses: codecov/codecov-action@v4 + uses: codecov/codecov-action@v5 env: CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} diff --git a/Assets/DocsGPT tee-back.jpeg b/Assets/DocsGPT tee-back.jpeg deleted file mode 100644 index 8c0e22aa..00000000 Binary files a/Assets/DocsGPT tee-back.jpeg and /dev/null differ diff --git a/Assets/DocsGPT tee-front.jpeg b/Assets/DocsGPT tee-front.jpeg deleted file mode 100644 index 8a4b7374..00000000 Binary files a/Assets/DocsGPT tee-front.jpeg and /dev/null differ diff --git a/README.md b/README.md index 99baf811..f2699fe6 100644 --- a/README.md +++ b/README.md @@ -27,9 +27,7 @@ Say goodbye to time-consuming manual searches, and let - Let's chat - +[Book a Meeting :wave:](https://cal.com/arc53/docsgpt-demo-b2b)⁠ [Send Email :email:](mailto:contact@arc53.com?subject=DocsGPT%20support%2Fsolutions) @@ -125,7 +123,7 @@ docker compose -f docker-compose-dev.yaml up -d ### Run the Backend > [!Note] -> Make sure you have Python 3.10 or 3.11 installed. +> Make sure you have Python 3.12 installed. 1. Export required environment variables or prepare a `.env` file in the project folder: - Copy [.env-template](https://github.com/arc53/DocsGPT/blob/main/application/.env-template) and create `.env`. diff --git a/Readme Logo.png b/Readme Logo.png deleted file mode 100644 index aad92a75..00000000 Binary files a/Readme Logo.png and /dev/null differ diff --git a/application/api/answer/routes.py b/application/api/answer/routes.py index 94a17693..74f8a4a9 100644 --- a/application/api/answer/routes.py +++ b/application/api/answer/routes.py @@ -18,7 +18,7 @@ from application.error import bad_request from application.extensions import api from application.llm.llm_creator import LLMCreator from application.retriever.retriever_creator import RetrieverCreator -from application.utils import check_required_fields +from application.utils import check_required_fields, limit_chat_history logger = logging.getLogger(__name__) @@ -118,8 +118,31 @@ def is_azure_configured(): ) -def save_conversation(conversation_id, question, response, source_log_docs, llm): - if conversation_id is not None and conversation_id != "None": +def save_conversation(conversation_id, question, response, source_log_docs, llm,index=None): + if conversation_id is not None and index is not None: + conversations_collection.update_one( + {"_id": ObjectId(conversation_id), f"queries.{index}": {"$exists": True}}, + { + "$set": { + f"queries.{index}.prompt": question, + f"queries.{index}.response": response, + f"queries.{index}.sources": source_log_docs, + } + } + ) + ##remove following queries from the array + conversations_collection.update_one( + {"_id": ObjectId(conversation_id), f"queries.{index}": {"$exists": True}}, + { + "$push":{ + "queries":{ + "$each":[], + "$slice":index+1 + } + } + } + ) + elif conversation_id is not None and conversation_id != "None": conversations_collection.update_one( {"_id": ObjectId(conversation_id)}, { @@ -141,17 +164,17 @@ def save_conversation(conversation_id, question, response, source_log_docs, llm) "role": "assistant", "content": "Summarise following conversation in no more than 3 " "words, respond ONLY with the summary, use the same " - "language as the system \n\nUser: " - + question - + "\n\n" - + "AI: " - + response, + "language as the system", }, { "role": "user", "content": "Summarise following conversation in no more than 3 words, " "respond ONLY with the summary, use the same language as the " - "system", + "system \n\nUser: " + + question + + "\n\n" + + "AI: " + + response, }, ] @@ -186,7 +209,7 @@ def get_prompt(prompt_id): def complete_stream( - question, retriever, conversation_id, user_api_key, isNoneDoc=False + question, retriever, conversation_id, user_api_key, isNoneDoc=False,index=None ): try: @@ -217,7 +240,7 @@ def complete_stream( ) if user_api_key is None: conversation_id = save_conversation( - conversation_id, question, response_full, source_log_docs, llm + conversation_id, question, response_full, source_log_docs, llm,index ) # send data.type = "end" to indicate that the stream has ended as json data = json.dumps({"type": "id", "id": str(conversation_id)}) @@ -282,6 +305,9 @@ class Stream(Resource): "isNoneDoc": fields.Boolean( required=False, description="Flag indicating if no document is used" ), + "index":fields.Integer( + required=False, description="The position where query is to be updated" + ), }, ) @@ -290,23 +316,23 @@ class Stream(Resource): def post(self): data = request.get_json() required_fields = ["question"] - + if "index" in data: + required_fields = ["question","conversation_id"] missing_fields = check_required_fields(data, required_fields) if missing_fields: return missing_fields try: question = data["question"] - history = data.get("history", []) - history = json.loads(history) + history = limit_chat_history(json.loads(data.get("history", [])), gpt_model=gpt_model) conversation_id = data.get("conversation_id") prompt_id = data.get("prompt_id", "default") - + index=data.get("index",None) chunks = int(data.get("chunks", 2)) token_limit = data.get("token_limit", settings.DEFAULT_MAX_HISTORY) retriever_name = data.get("retriever", "classic") - + if "api_key" in data: data_key = get_data_from_api_key(data["api_key"]) chunks = int(data_key.get("chunks", 2)) @@ -343,7 +369,7 @@ class Stream(Resource): gpt_model=gpt_model, user_api_key=user_api_key, ) - + return Response( complete_stream( question=question, @@ -351,6 +377,7 @@ class Stream(Resource): conversation_id=conversation_id, user_api_key=user_api_key, isNoneDoc=data.get("isNoneDoc"), + index=index, ), mimetype="text/event-stream", ) @@ -428,7 +455,7 @@ class Answer(Resource): try: question = data["question"] - history = data.get("history", []) + history = limit_chat_history(json.loads(data.get("history", [])), gpt_model=gpt_model) conversation_id = data.get("conversation_id") prompt_id = data.get("prompt_id", "default") chunks = int(data.get("chunks", 2)) diff --git a/application/api/user/routes.py b/application/api/user/routes.py index bcbc2d95..f2d1be06 100644 --- a/application/api/user/routes.py +++ b/application/api/user/routes.py @@ -181,10 +181,12 @@ class SubmitFeedback(Resource): "FeedbackModel", { "question": fields.String( - required=True, description="The user question" + required=False, description="The user question" ), - "answer": fields.String(required=True, description="The AI answer"), + "answer": fields.String(required=False, description="The AI answer"), "feedback": fields.String(required=True, description="User feedback"), + "question_index":fields.Integer(required=True, description="The question number in that particular conversation"), + "conversation_id":fields.String(required=True, description="id of the particular conversation"), "api_key": fields.String(description="Optional API key"), }, ) @@ -194,23 +196,21 @@ class SubmitFeedback(Resource): ) def post(self): data = request.get_json() - required_fields = ["question", "answer", "feedback"] + required_fields = [ "feedback","conversation_id","question_index"] missing_fields = check_required_fields(data, required_fields) if missing_fields: return missing_fields - new_doc = { - "question": data["question"], - "answer": data["answer"], - "feedback": data["feedback"], - "timestamp": datetime.datetime.now(datetime.timezone.utc), - } - - if "api_key" in data: - new_doc["api_key"] = data["api_key"] - try: - feedback_collection.insert_one(new_doc) + conversations_collection.update_one( + {"_id": ObjectId(data["conversation_id"]), f"queries.{data['question_index']}": {"$exists": True}}, + { + "$set": { + f"queries.{data['question_index']}.feedback": data["feedback"] + } + } + ) + except Exception as err: return make_response(jsonify({"success": False, "error": str(err)}), 400) @@ -253,13 +253,12 @@ class DeleteOldIndexes(Resource): jsonify({"success": False, "message": "Missing required fields"}), 400 ) - try: - doc = sources_collection.find_one( + doc = sources_collection.find_one( {"_id": ObjectId(source_id), "user": "local"} - ) - if not doc: + ) + if not doc: return make_response(jsonify({"status": "not found"}), 404) - + try: if settings.VECTOR_STORE == "faiss": shutil.rmtree(os.path.join(current_dir, "indexes", str(doc["_id"]))) else: @@ -268,12 +267,12 @@ class DeleteOldIndexes(Resource): ) vectorstore.delete_index() - sources_collection.delete_one({"_id": ObjectId(source_id)}) except FileNotFoundError: pass except Exception as err: return make_response(jsonify({"success": False, "error": str(err)}), 400) - + + sources_collection.delete_one({"_id": ObjectId(source_id)}) return make_response(jsonify({"success": True}), 200) @@ -344,6 +343,9 @@ class UploadFile(Resource): ".json", ".xlsx", ".pptx", + ".png", + ".jpg", + ".jpeg", ], job_name, final_filename, @@ -370,6 +372,9 @@ class UploadFile(Resource): ".json", ".xlsx", ".pptx", + ".png", + ".jpg", + ".jpeg", ], job_name, final_filename, @@ -478,11 +483,22 @@ class PaginatedSources(Resource): sort_order = request.args.get("order", "desc") # Default to 'desc' page = int(request.args.get("page", 1)) # Default to 1 rows_per_page = int(request.args.get("rows", 10)) # Default to 10 + # add .strip() to remove leading and trailing whitespaces + search_term = request.args.get( + "search", "" + ).strip() # add search for filter documents - # Prepare + # Prepare query for filtering query = {"user": user} + if search_term: + query["name"] = { + "$regex": search_term, + "$options": "i", # using case-insensitive search + } + total_documents = sources_collection.count_documents(query) total_pages = max(1, math.ceil(total_documents / rows_per_page)) + page = min(max(1, page), total_pages) # add this to make sure page inbound is within the range sort_order = 1 if sort_order == "asc" else -1 skip = (page - 1) * rows_per_page @@ -2082,3 +2098,4 @@ class DeleteTool(Resource): return {"success": False, "error": str(err)}, 400 return {"success": True}, 200 + \ No newline at end of file diff --git a/application/celery_init.py b/application/celery_init.py index c5838083..185cc87f 100644 --- a/application/celery_init.py +++ b/application/celery_init.py @@ -2,14 +2,22 @@ from celery import Celery from application.core.settings import settings from celery.signals import setup_logging + def make_celery(app_name=__name__): - celery = Celery(app_name, broker=settings.CELERY_BROKER_URL, backend=settings.CELERY_RESULT_BACKEND) + celery = Celery( + app_name, + broker=settings.CELERY_BROKER_URL, + backend=settings.CELERY_RESULT_BACKEND, + ) celery.conf.update(settings) return celery + @setup_logging.connect def config_loggers(*args, **kwargs): from application.core.logging_config import setup_logging + setup_logging() + celery = make_celery() diff --git a/application/core/settings.py b/application/core/settings.py index d4b02481..0bace432 100644 --- a/application/core/settings.py +++ b/application/core/settings.py @@ -16,8 +16,9 @@ class Settings(BaseSettings): MONGO_URI: str = "mongodb://localhost:27017/docsgpt" MODEL_PATH: str = os.path.join(current_dir, "models/docsgpt-7b-f16.gguf") DEFAULT_MAX_HISTORY: int = 150 - MODEL_TOKEN_LIMITS: dict = {"gpt-3.5-turbo": 4096, "claude-2": 1e5} + MODEL_TOKEN_LIMITS: dict = {"gpt-4o-mini": 128000, "gpt-3.5-turbo": 4096, "claude-2": 1e5} UPLOAD_FOLDER: str = "inputs" + PARSE_PDF_AS_IMAGE: bool = False VECTOR_STORE: str = "faiss" # "faiss" or "elasticsearch" or "qdrant" or "milvus" or "lancedb" RETRIEVERS_ENABLED: list = ["classic_rag", "duckduck_search"] # also brave_search diff --git a/application/llm/docsgpt_provider.py b/application/llm/docsgpt_provider.py index bca39729..bb23d824 100644 --- a/application/llm/docsgpt_provider.py +++ b/application/llm/docsgpt_provider.py @@ -9,35 +9,25 @@ class DocsGPTAPILLM(BaseLLM): super().__init__(*args, **kwargs) self.api_key = api_key self.user_api_key = user_api_key - self.endpoint = "https://llm.docsgpt.co.uk" + self.endpoint = "https://llm.arc53.com" def _raw_gen(self, baseself, model, messages, stream=False, *args, **kwargs): - context = messages[0]["content"] - user_question = messages[-1]["content"] - prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" - response = requests.post( - f"{self.endpoint}/answer", json={"prompt": prompt, "max_new_tokens": 30} + f"{self.endpoint}/answer", json={"messages": messages, "max_new_tokens": 30} ) response_clean = response.json()["a"].replace("###", "") return response_clean def _raw_gen_stream(self, baseself, model, messages, stream=True, *args, **kwargs): - context = messages[0]["content"] - user_question = messages[-1]["content"] - prompt = f"### Instruction \n {user_question} \n ### Context \n {context} \n ### Answer \n" - - # send prompt to endpoint /stream response = requests.post( f"{self.endpoint}/stream", - json={"prompt": prompt, "max_new_tokens": 256}, + json={"messages": messages, "max_new_tokens": 256}, stream=True, ) for line in response.iter_lines(): if line: - # data = json.loads(line) data_str = line.decode("utf-8") if data_str.startswith("data: "): data = json.loads(data_str[6:]) diff --git a/application/parser/file/bulk.py b/application/parser/file/bulk.py index 3b8fbca8..8201b3f2 100644 --- a/application/parser/file/bulk.py +++ b/application/parser/file/bulk.py @@ -13,6 +13,7 @@ from application.parser.file.rst_parser import RstParser from application.parser.file.tabular_parser import PandasCSVParser,ExcelParser from application.parser.file.json_parser import JSONParser from application.parser.file.pptx_parser import PPTXParser +from application.parser.file.image_parser import ImageParser from application.parser.schema.base import Document DEFAULT_FILE_EXTRACTOR: Dict[str, BaseParser] = { @@ -27,6 +28,9 @@ DEFAULT_FILE_EXTRACTOR: Dict[str, BaseParser] = { ".mdx": MarkdownParser(), ".json":JSONParser(), ".pptx":PPTXParser(), + ".png": ImageParser(), + ".jpg": ImageParser(), + ".jpeg": ImageParser(), } diff --git a/application/parser/file/docs_parser.py b/application/parser/file/docs_parser.py index 861e8e58..55d45a64 100644 --- a/application/parser/file/docs_parser.py +++ b/application/parser/file/docs_parser.py @@ -7,7 +7,8 @@ from pathlib import Path from typing import Dict from application.parser.file.base_parser import BaseParser - +from application.core.settings import settings +import requests class PDFParser(BaseParser): """PDF parser.""" @@ -18,6 +19,15 @@ class PDFParser(BaseParser): def parse_file(self, file: Path, errors: str = "ignore") -> str: """Parse file.""" + if settings.PARSE_PDF_AS_IMAGE: + doc2md_service = "https://llm.arc53.com/doc2md" + # alternatively you can use local vision capable LLM + with open(file, "rb") as file_loaded: + files = {'file': file_loaded} + response = requests.post(doc2md_service, files=files) + data = response.json()["markdown"] + return data + try: import PyPDF2 except ImportError: diff --git a/application/parser/file/image_parser.py b/application/parser/file/image_parser.py new file mode 100644 index 00000000..fd800d91 --- /dev/null +++ b/application/parser/file/image_parser.py @@ -0,0 +1,27 @@ +"""Image parser. + +Contains parser for .png, .jpg, .jpeg files. + +""" +from pathlib import Path +import requests +from typing import Dict, Union + +from application.parser.file.base_parser import BaseParser + + +class ImageParser(BaseParser): + """Image parser.""" + + def _init_parser(self) -> Dict: + """Init parser.""" + return {} + + def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, list[str]]: + doc2md_service = "https://llm.arc53.com/doc2md" + # alternatively you can use local vision capable LLM + with open(file, "rb") as file_loaded: + files = {'file': file_loaded} + response = requests.post(doc2md_service, files=files) + data = response.json()["markdown"] + return data diff --git a/application/parser/file/rst_parser.py b/application/parser/file/rst_parser.py index 633ec844..d39a0837 100644 --- a/application/parser/file/rst_parser.py +++ b/application/parser/file/rst_parser.py @@ -91,6 +91,25 @@ class RstParser(BaseParser): ] return rst_tups + def chunk_by_token_count(self, text: str, max_tokens: int = 100) -> List[str]: + """Chunk text by token count.""" + + avg_token_length = 5 + + chunk_size = max_tokens * avg_token_length + + chunks = [] + for i in range(0, len(text), chunk_size): + chunk = text[i:i+chunk_size] + if i + chunk_size < len(text): + last_space = chunk.rfind(' ') + if last_space != -1: + chunk = chunk[:last_space] + + chunks.append(chunk.strip()) + + return chunks + def remove_images(self, content: str) -> str: pattern = r"\.\. image:: (.*)" content = re.sub(pattern, "", content) @@ -136,7 +155,7 @@ class RstParser(BaseParser): return {} def parse_tups( - self, filepath: Path, errors: str = "ignore" + self, filepath: Path, errors: str = "ignore",max_tokens: Optional[int] = 1000 ) -> List[Tuple[Optional[str], str]]: """Parse file into tuples.""" with open(filepath, "r") as f: @@ -156,6 +175,15 @@ class RstParser(BaseParser): rst_tups = self.remove_whitespaces_excess(rst_tups) if self._remove_characters_excess: rst_tups = self.remove_characters_excess(rst_tups) + + # Apply chunking if max_tokens is provided + if max_tokens is not None: + chunked_tups = [] + for header, text in rst_tups: + chunks = self.chunk_by_token_count(text, max_tokens) + for idx, chunk in enumerate(chunks): + chunked_tups.append((f"{header} - Chunk {idx + 1}", chunk)) + return chunked_tups return rst_tups def parse_file( diff --git a/application/parser/java2doc.py b/application/parser/java2doc.py deleted file mode 100644 index 2a8bfa3a..00000000 --- a/application/parser/java2doc.py +++ /dev/null @@ -1,66 +0,0 @@ -import os - -import javalang - - -def find_files(directory): - files_list = [] - for root, dirs, files in os.walk(directory): - for file in files: - if file.endswith('.java'): - files_list.append(os.path.join(root, file)) - return files_list - - -def extract_functions(file_path): - with open(file_path, "r") as file: - java_code = file.read() - methods = {} - tree = javalang.parse.parse(java_code) - for _, node in tree.filter(javalang.tree.MethodDeclaration): - method_name = node.name - start_line = node.position.line - 1 - end_line = start_line - brace_count = 0 - for line in java_code.splitlines()[start_line:]: - end_line += 1 - brace_count += line.count("{") - line.count("}") - if brace_count == 0: - break - method_source_code = "\n".join(java_code.splitlines()[start_line:end_line]) - methods[method_name] = method_source_code - return methods - - -def extract_classes(file_path): - with open(file_path, 'r') as file: - source_code = file.read() - classes = {} - tree = javalang.parse.parse(source_code) - for class_decl in tree.types: - class_name = class_decl.name - declarations = [] - methods = [] - for field_decl in class_decl.fields: - field_name = field_decl.declarators[0].name - field_type = field_decl.type.name - declarations.append(f"{field_type} {field_name}") - for method_decl in class_decl.methods: - methods.append(method_decl.name) - class_string = "Declarations: " + ", ".join(declarations) + "\n Method name: " + ", ".join(methods) - classes[class_name] = class_string - return classes - - -def extract_functions_and_classes(directory): - files = find_files(directory) - functions_dict = {} - classes_dict = {} - for file in files: - functions = extract_functions(file) - if functions: - functions_dict[file] = functions - classes = extract_classes(file) - if classes: - classes_dict[file] = classes - return functions_dict, classes_dict diff --git a/application/parser/js2doc.py b/application/parser/js2doc.py deleted file mode 100644 index 6dc44812..00000000 --- a/application/parser/js2doc.py +++ /dev/null @@ -1,70 +0,0 @@ -import os - -import escodegen -import esprima - - -def find_files(directory): - files_list = [] - for root, dirs, files in os.walk(directory): - for file in files: - if file.endswith('.js'): - files_list.append(os.path.join(root, file)) - return files_list - - -def extract_functions(file_path): - with open(file_path, 'r') as file: - source_code = file.read() - functions = {} - tree = esprima.parseScript(source_code) - for node in tree.body: - if node.type == 'FunctionDeclaration': - func_name = node.id.name if node.id else '' - functions[func_name] = escodegen.generate(node) - elif node.type == 'VariableDeclaration': - for declaration in node.declarations: - if declaration.init and declaration.init.type == 'FunctionExpression': - func_name = declaration.id.name if declaration.id else '' - functions[func_name] = escodegen.generate(declaration.init) - elif node.type == 'ClassDeclaration': - for subnode in node.body.body: - if subnode.type == 'MethodDefinition': - func_name = subnode.key.name - functions[func_name] = escodegen.generate(subnode.value) - elif subnode.type == 'VariableDeclaration': - for declaration in subnode.declarations: - if declaration.init and declaration.init.type == 'FunctionExpression': - func_name = declaration.id.name if declaration.id else '' - functions[func_name] = escodegen.generate(declaration.init) - return functions - - -def extract_classes(file_path): - with open(file_path, 'r') as file: - source_code = file.read() - classes = {} - tree = esprima.parseScript(source_code) - for node in tree.body: - if node.type == 'ClassDeclaration': - class_name = node.id.name - function_names = [] - for subnode in node.body.body: - if subnode.type == 'MethodDefinition': - function_names.append(subnode.key.name) - classes[class_name] = ", ".join(function_names) - return classes - - -def extract_functions_and_classes(directory): - files = find_files(directory) - functions_dict = {} - classes_dict = {} - for file in files: - functions = extract_functions(file) - if functions: - functions_dict[file] = functions - classes = extract_classes(file) - if classes: - classes_dict[file] = classes - return functions_dict, classes_dict diff --git a/application/parser/py2doc.py b/application/parser/py2doc.py deleted file mode 100644 index 3a8175d4..00000000 --- a/application/parser/py2doc.py +++ /dev/null @@ -1,121 +0,0 @@ -import ast -import os -from pathlib import Path - -import tiktoken -from langchain.llms import OpenAI -from langchain.prompts import PromptTemplate - - -def find_files(directory): - files_list = [] - for root, dirs, files in os.walk(directory): - for file in files: - if file.endswith('.py'): - files_list.append(os.path.join(root, file)) - return files_list - - -def extract_functions(file_path): - with open(file_path, 'r') as file: - source_code = file.read() - functions = {} - tree = ast.parse(source_code) - for node in ast.walk(tree): - if isinstance(node, ast.FunctionDef): - func_name = node.name - func_def = ast.get_source_segment(source_code, node) - functions[func_name] = func_def - return functions - - -def extract_classes(file_path): - with open(file_path, 'r') as file: - source_code = file.read() - classes = {} - tree = ast.parse(source_code) - for node in ast.walk(tree): - if isinstance(node, ast.ClassDef): - class_name = node.name - function_names = [] - for subnode in ast.walk(node): - if isinstance(subnode, ast.FunctionDef): - function_names.append(subnode.name) - classes[class_name] = ", ".join(function_names) - return classes - - -def extract_functions_and_classes(directory): - files = find_files(directory) - functions_dict = {} - classes_dict = {} - for file in files: - functions = extract_functions(file) - if functions: - functions_dict[file] = functions - classes = extract_classes(file) - if classes: - classes_dict[file] = classes - return functions_dict, classes_dict - - -def parse_functions(functions_dict, formats, dir): - c1 = len(functions_dict) - for i, (source, functions) in enumerate(functions_dict.items(), start=1): - print(f"Processing file {i}/{c1}") - source_w = source.replace(dir + "/", "").replace("." + formats, ".md") - subfolders = "/".join(source_w.split("/")[:-1]) - Path(f"outputs/{subfolders}").mkdir(parents=True, exist_ok=True) - for j, (name, function) in enumerate(functions.items(), start=1): - print(f"Processing function {j}/{len(functions)}") - prompt = PromptTemplate( - input_variables=["code"], - template="Code: \n{code}, \nDocumentation: ", - ) - llm = OpenAI(temperature=0) - response = llm(prompt.format(code=function)) - mode = "a" if Path(f"outputs/{source_w}").exists() else "w" - with open(f"outputs/{source_w}", mode) as f: - f.write( - f"\n\n# Function name: {name} \n\nFunction: \n```\n{function}\n```, \nDocumentation: \n{response}") - - -def parse_classes(classes_dict, formats, dir): - c1 = len(classes_dict) - for i, (source, classes) in enumerate(classes_dict.items()): - print(f"Processing file {i + 1}/{c1}") - source_w = source.replace(dir + "/", "").replace("." + formats, ".md") - subfolders = "/".join(source_w.split("/")[:-1]) - Path(f"outputs/{subfolders}").mkdir(parents=True, exist_ok=True) - for name, function_names in classes.items(): - print(f"Processing Class {i + 1}/{c1}") - prompt = PromptTemplate( - input_variables=["class_name", "functions_names"], - template="Class name: {class_name} \nFunctions: {functions_names}, \nDocumentation: ", - ) - llm = OpenAI(temperature=0) - response = llm(prompt.format(class_name=name, functions_names=function_names)) - - with open(f"outputs/{source_w}", "a" if Path(f"outputs/{source_w}").exists() else "w") as f: - f.write(f"\n\n# Class name: {name} \n\nFunctions: \n{function_names}, \nDocumentation: \n{response}") - - -def transform_to_docs(functions_dict, classes_dict, formats, dir): - docs_content = ''.join([str(key) + str(value) for key, value in functions_dict.items()]) - docs_content += ''.join([str(key) + str(value) for key, value in classes_dict.items()]) - - num_tokens = len(tiktoken.get_encoding("cl100k_base").encode(docs_content)) - total_price = ((num_tokens / 1000) * 0.02) - - print(f"Number of Tokens = {num_tokens:,d}") - print(f"Approx Cost = ${total_price:,.2f}") - - user_input = input("Price Okay? (Y/N)\n").lower() - if user_input == "y" or user_input == "": - if not Path("outputs").exists(): - Path("outputs").mkdir() - parse_functions(functions_dict, formats, dir) - parse_classes(classes_dict, formats, dir) - print("All done!") - else: - print("The API was not called. No money was spent.") diff --git a/application/requirements.txt b/application/requirements.txt index c8f16d85..b9d2c33c 100644 --- a/application/requirements.txt +++ b/application/requirements.txt @@ -1,4 +1,4 @@ -anthropic==0.34.2 +anthropic==0.40.0 boto3==1.34.153 beautifulsoup4==4.12.3 celery==5.3.6 @@ -28,12 +28,12 @@ jsonschema==4.23.0 jsonschema-spec==0.2.4 jsonschema-specifications==2023.7.1 kombu==5.4.2 -langchain==0.3.0 -langchain-community==0.3.0 -langchain-core==0.3.2 +langchain==0.3.11 +langchain-community==0.3.11 +langchain-core==0.3.25 langchain-openai==0.2.0 langchain-text-splitters==0.3.0 -langsmith==0.1.125 +langsmith==0.2.3 lazy-object-proxy==1.10.0 lxml==5.3.0 markupsafe==2.1.5 @@ -73,17 +73,17 @@ referencing==0.30.2 regex==2024.9.11 requests==2.32.3 retry==0.9.2 -sentence-transformers==3.0.1 +sentence-transformers==3.3.1 tiktoken==0.7.0 -tokenizers==0.19.1 +tokenizers==0.21.0 torch==2.4.1 tqdm==4.66.5 -transformers==4.44.2 +transformers==4.47.0 typing-extensions==4.12.2 typing-inspect==0.9.0 tzdata==2024.2 urllib3==2.2.3 vine==5.1.0 wcwidth==0.2.13 -werkzeug==3.0.4 +werkzeug==3.1.3 yarl==1.11.1 \ No newline at end of file diff --git a/application/retriever/brave_search.py b/application/retriever/brave_search.py index 1fd844b2..3d9ae89e 100644 --- a/application/retriever/brave_search.py +++ b/application/retriever/brave_search.py @@ -2,7 +2,6 @@ import json from application.retriever.base import BaseRetriever from application.core.settings import settings from application.llm.llm_creator import LLMCreator -from application.utils import num_tokens_from_string from langchain_community.tools import BraveSearch @@ -73,15 +72,8 @@ class BraveRetSearch(BaseRetriever): yield {"source": doc} if len(self.chat_history) > 1: - tokens_current_history = 0 - # count tokens in history for i in self.chat_history: if "prompt" in i and "response" in i: - tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string( - i["response"] - ) - if tokens_current_history + tokens_batch < self.token_limit: - tokens_current_history += tokens_batch messages_combine.append( {"role": "user", "content": i["prompt"]} ) diff --git a/application/retriever/classic_rag.py b/application/retriever/classic_rag.py index 81a5985b..a00e191f 100644 --- a/application/retriever/classic_rag.py +++ b/application/retriever/classic_rag.py @@ -6,6 +6,7 @@ from application.utils import num_tokens_from_string from application.vectorstore.vector_creator import VectorCreator + class ClassicRAG(BaseRetriever): def __init__( @@ -73,15 +74,8 @@ class ClassicRAG(BaseRetriever): yield {"source": doc} if len(self.chat_history) > 1: - tokens_current_history = 0 - # count tokens in history for i in self.chat_history: - if "prompt" in i and "response" in i: - tokens_batch = num_tokens_from_string( - i["prompt"] - ) + num_tokens_from_string(i["response"]) - if tokens_current_history + tokens_batch < self.token_limit: - tokens_current_history += tokens_batch + if "prompt" in i and "response" in i: messages_combine.append( {"role": "user", "content": i["prompt"]} ) @@ -89,7 +83,6 @@ class ClassicRAG(BaseRetriever): {"role": "system", "content": i["response"]} ) messages_combine.append({"role": "user", "content": self.question}) - # llm = LLMCreator.create_llm( # settings.LLM_NAME, api_key=settings.API_KEY, user_api_key=self.user_api_key # ) diff --git a/application/retriever/duckduck_search.py b/application/retriever/duckduck_search.py index 6ae56226..fa19ead0 100644 --- a/application/retriever/duckduck_search.py +++ b/application/retriever/duckduck_search.py @@ -1,7 +1,6 @@ from application.retriever.base import BaseRetriever from application.core.settings import settings from application.llm.llm_creator import LLMCreator -from application.utils import num_tokens_from_string from langchain_community.tools import DuckDuckGoSearchResults from langchain_community.utilities import DuckDuckGoSearchAPIWrapper @@ -89,16 +88,9 @@ class DuckDuckSearch(BaseRetriever): for doc in docs: yield {"source": doc} - if len(self.chat_history) > 1: - tokens_current_history = 0 - # count tokens in history + if len(self.chat_history) > 1: for i in self.chat_history: - if "prompt" in i and "response" in i: - tokens_batch = num_tokens_from_string(i["prompt"]) + num_tokens_from_string( - i["response"] - ) - if tokens_current_history + tokens_batch < self.token_limit: - tokens_current_history += tokens_batch + if "prompt" in i and "response" in i: messages_combine.append( {"role": "user", "content": i["prompt"]} ) diff --git a/application/utils.py b/application/utils.py index 3b2eb9f3..690eac5e 100644 --- a/application/utils.py +++ b/application/utils.py @@ -58,3 +58,40 @@ def check_required_fields(data, required_fields): def get_hash(data): return hashlib.md5(data.encode()).hexdigest() +def limit_chat_history(history, max_token_limit=None, gpt_model="docsgpt"): + """ + Limits chat history based on token count. + Returns a list of messages that fit within the token limit. + """ + from application.core.settings import settings + + max_token_limit = ( + max_token_limit + if max_token_limit and + max_token_limit < settings.MODEL_TOKEN_LIMITS.get( + gpt_model, settings.DEFAULT_MAX_HISTORY + ) + else settings.MODEL_TOKEN_LIMITS.get( + gpt_model, settings.DEFAULT_MAX_HISTORY + ) + ) + + + if not history: + return [] + + tokens_current_history = 0 + trimmed_history = [] + + for message in reversed(history): + if "prompt" in message and "response" in message: + tokens_batch = num_tokens_from_string(message["prompt"]) + num_tokens_from_string( + message["response"] + ) + if tokens_current_history + tokens_batch < max_token_limit: + tokens_current_history += tokens_batch + trimmed_history.insert(0, message) + else: + break + + return trimmed_history diff --git a/docs/package-lock.json b/docs/package-lock.json index 10418138..2e9c7f7d 100644 --- a/docs/package-lock.json +++ b/docs/package-lock.json @@ -7,8 +7,8 @@ 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"resolved": "https://registry.npmjs.org/typescript/-/typescript-5.7.2.tgz", + "integrity": "sha512-i5t66RHxDvVN40HfDd1PsEThGNnlMCMT3jMUuoh9/0TaqWevNontacunWyN02LA9/fIbEWlcHZcgTKb9QoaLfg==", + "peer": true, + "bin": { + "tsc": "bin/tsc", + "tsserver": "bin/tsserver" + }, + "engines": { + "node": ">=14.17" + } + }, "node_modules/uc.micro": { "version": "2.1.0", "resolved": "https://registry.npmjs.org/uc.micro/-/uc.micro-2.1.0.tgz", diff --git a/docs/package.json b/docs/package.json index cc3e786d..b9f53250 100644 --- a/docs/package.json +++ b/docs/package.json @@ -7,8 +7,8 @@ "license": "MIT", "dependencies": { "@vercel/analytics": "^1.1.1", - "docsgpt": "^0.4.7", - "next": "^14.2.12", + "docsgpt-react": "^0.4.8", + "next": "^14.2.20", "nextra": "^2.13.2", "nextra-theme-docs": "^2.13.2", "react": "^18.2.0", diff --git a/docs/pages/Extensions/react-widget.md b/docs/pages/Extensions/react-widget.md index 1859b558..8429e377 100644 --- a/docs/pages/Extensions/react-widget.md +++ b/docs/pages/Extensions/react-widget.md @@ -29,18 +29,30 @@ Now, you can use the widget in your component like this : buttonBg = "#222327" /> ``` -To tailor the widget to your needs, you can configure the following props in your component: -1. `apiHost` — The URL of your DocsGPT API. -2. `theme` — Allows to select your specific theme (dark or light). -3. `apiKey` — Usually, it's empty. -4. `avatar`: Specifies the URL of the avatar or image representing the chatbot. -5. `title`: Sets the title text displayed in the chatbot interface. -6. `description`: Provides a brief description of the chatbot's purpose or functionality. -7. `heroTitle`: Displays a welcome title when users interact with the chatbot. -8. `heroDescription`: Provide additional introductory text or information about the chatbot's capabilities. -9. `buttonIcon`: Specifies the url of the icon image for the widget. -10. `buttonBg`: Allows to specify the Background color of the widget. -11. `size`: Sets the size of the widget ( small, medium). +### Props Table for DocsGPT Widget + +| **Prop** | **Type** | **Default Value** | **Description** | +|--------------------|------------------|-------------------------------------------------------------|-----------------------------------------------------------------------------------------------------| +| **`apiHost`** | `string` | `"https://gptcloud.arc53.com"` | The URL of your DocsGPT API for vector search and chatbot queries. | +| **`apiKey`** | `string` | `""` | Your API key for authentication. Can be left empty if authentication is not required. | +| **`avatar`** | `string` | `"https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png"` | Specifies the URL of the avatar or image representing the chatbot. | +| **`title`** | `string` | `"Get AI assistance"` | Sets the title text displayed in the chatbot interface. | +| **`description`** | `string` | `"DocsGPT's AI Chatbot is here to help"` | Provides a brief description of the chatbot's purpose or functionality. | +| **`heroTitle`** | `string` | `"Welcome to DocsGPT !"` | Displays a welcome title when users interact with the chatbot. | +| **`heroDescription`** | `string` | `"This chatbot is built with DocsGPT and utilises GenAI, please review important information using sources."` | Provides additional introductory text or information about the chatbot's capabilities. | +| **`theme`** | `"dark" \| "light"` | `"dark"` | Allows you to select the theme for the chatbot interface. Accepts `"dark"` or `"light"`. | +| **`buttonIcon`** | `string` | `"https://your-icon"` | Specifies the URL of the icon image for the widget's launch button. | +| **`buttonBg`** | `string` | `"#222327"` | Sets the background color of the widget's launch button. | +| **`size`** | `"small" \| "medium"` | `"medium"` | Sets the size of the widget. Options are `"small"` or `"medium"`. | + +--- + +### Notes +- **Customizing Props:** All properties can be overridden when embedding the widget. For example, you can provide a unique avatar, title, or color scheme to better align with your brand. +- **Default Theme:** The widget defaults to the dark theme unless explicitly set to `"light"`. +- **API Key:** If the `apiKey` is not required for your application, leave it empty. + +This table provides a clear overview of the customization options available for tailoring the DocsGPT widget to fit your application. ### How to use DocsGPTWidget with [Nextra](https://nextra.site/) (Next.js + MDX) @@ -121,5 +133,80 @@ To link the widget to your api and your documents you can pass parameters to the ``` +# SearchBar + +The `SearchBar` component is an interactive search bar designed to provide search results based on **vector similarity search**. It also includes the capability to open the AI Chatbot, enabling users to query. + +--- + +### Importing the Component +```tsx +import { SearchBar } from "docsgpt-react"; +``` + +--- + +### Usage Example +```tsx + +``` + +--- + +## HTML embedding for Search bar + +```html + + + + + + SearchBar Embedding + + + + +
+ + + + + +``` + +### Props + +| **Prop** | **Type** | **Default Value** | **Description** | +|-----------------|-----------|-------------------------------------|--------------------------------------------------------------------------------------------------| +| **`apiKey`** | `string` | `"74039c6d-bff7-44ce-ae55-2973cbf13837"` | Your API key generated from the app. Used for authenticating requests. | +| **`apiHost`** | `string` | `"https://gptcloud.arc53.com"` | The base URL of the server hosting the vector similarity search and chatbot services. | +| **`theme`** | `"dark" \| "light"` | `"dark"` | The theme of the search bar. Accepts `"dark"` or `"light"`. | +| **`placeholder`** | `string` | `"Search or Ask AI..."` | Placeholder text displayed in the search input field. | +| **`width`** | `string` | `"256px"` | Width of the search bar. Accepts any valid CSS width value (e.g., `"300px"`, `"100%"`, `"20rem"`). | + + +Feel free to reach out if you need help customizing or extending the `SearchBar`! + +## Our github + +[DocsGPT](https://github.com/arc53/DocsGPT) + +You can find the source code in the extensions/react-widget folder. + For more information about React, refer to this [link here](https://react.dev/learn) diff --git a/docs/pages/_app.mdx b/docs/pages/_app.mdx index 1cb8cadd..0111cd96 100644 --- a/docs/pages/_app.mdx +++ b/docs/pages/_app.mdx @@ -1,4 +1,4 @@ -import { DocsGPTWidget } from "docsgpt"; +import { DocsGPTWidget } from "docsgpt-react"; export default function MyApp({ Component, pageProps }) { return ( diff --git a/extensions/react-widget/README.md b/extensions/react-widget/README.md index b4159578..5b6222d2 100644 --- a/extensions/react-widget/README.md +++ b/extensions/react-widget/README.md @@ -13,7 +13,7 @@ npm install docsgpt ### React ```javascript - import { DocsGPTWidget } from "docsgpt"; + import { DocsGPTWidget } from "docsgpt-react"; const App = () => { return ; @@ -23,11 +23,11 @@ npm install docsgpt To link the widget to your api and your documents you can pass parameters to the component. ```javascript - import { DocsGPTWidget } from "docsgpt"; + import { DocsGPTWidget } from "docsgpt-react"; const App = () => { return ``` +# SearchBar + +The `SearchBar` component is an interactive search bar designed to provide search results based on **vector similarity search**. It also includes the capability to open the AI Chatbot, enabling users to query. + +--- + +### Importing the Component +```tsx +import { SearchBar } from "docsgpt-react"; +``` + +--- + +### Usage Example +```tsx + +``` + +--- + +## HTML embedding for Search bar + +```html + + + + + + SearchBar Embedding + + + + +
+ + + + + +``` + +### Props + +| **Prop** | **Type** | **Default Value** | **Description** | +|-----------------|-----------|-------------------------------------|--------------------------------------------------------------------------------------------------| +| **`apiKey`** | `string` | `"74039c6d-bff7-44ce-ae55-2973cbf13837"` | Your API key generated from the app. Used for authenticating requests. | +| **`apiHost`** | `string` | `"https://gptcloud.arc53.com"` | The base URL of the server hosting the vector similarity search and chatbot services. | +| **`theme`** | `"dark" \| "light"` | `"dark"` | The theme of the search bar. Accepts `"dark"` or `"light"`. | +| **`placeholder`** | `string` | `"Search or Ask AI..."` | Placeholder text displayed in the search input field. | +| **`width`** | `string` | `"256px"` | Width of the search bar. Accepts any valid CSS width value (e.g., `"300px"`, `"100%"`, `"20rem"`). | + + +Feel free to reach out if you need help customizing or extending the `SearchBar`! + ## Our github [DocsGPT](https://github.com/arc53/DocsGPT) diff --git a/extensions/react-widget/package-lock.json b/extensions/react-widget/package-lock.json index de4c228d..02ef326b 100644 --- a/extensions/react-widget/package-lock.json +++ b/extensions/react-widget/package-lock.json @@ -1,12 +1,12 @@ { "name": "docsgpt", - "version": "0.4.7", + "version": "0.4.8", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "docsgpt", - "version": "0.4.7", + "version": "0.4.8", "license": "Apache-2.0", "dependencies": { "@babel/plugin-transform-flow-strip-types": "^7.23.3", @@ -1885,6 +1885,17 @@ "node": ">=6.0.0" } }, + "node_modules/@jridgewell/source-map": { + "version": "0.3.6", + "resolved": "https://registry.npmjs.org/@jridgewell/source-map/-/source-map-0.3.6.tgz", + "integrity": 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"node_modules/webpack/node_modules/schema-utils": { + "version": "3.3.0", + "resolved": "https://registry.npmjs.org/schema-utils/-/schema-utils-3.3.0.tgz", + "integrity": "sha512-pN/yOAvcC+5rQ5nERGuwrjLlYvLTbCibnZ1I7B1LaiAz9BRBlE9GMgE/eqV30P7aJQUf7Ddimy/RsbYO/GrVGg==", + "dev": true, + "peer": true, + "dependencies": { + "@types/json-schema": "^7.0.8", + "ajv": "^6.12.5", + "ajv-keywords": "^3.5.2" + }, + "engines": { + "node": ">= 10.13.0" + }, + "funding": { + "type": "opencollective", + "url": "https://opencollective.com/webpack" + } + }, "node_modules/yallist": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", diff --git a/extensions/react-widget/package.json b/extensions/react-widget/package.json index a1097403..c6401d30 100644 --- a/extensions/react-widget/package.json +++ b/extensions/react-widget/package.json @@ -1,6 +1,6 @@ { - "name": "docsgpt", - "version": "0.4.7", + "name": "docsgpt-react", + "version": "0.4.8", "private": false, "description": "DocsGPT 🦖 is an innovative open-source tool designed to simplify the retrieval of information from project documentation using advanced GPT models 🤖.", "source": "./src/index.html", @@ -30,9 +30,10 @@ "styled-components": "^5" }, "scripts": { - "build": "parcel build src/main.tsx --public-url ./", + "build": "parcel build src/browser.tsx --public-url ./", "build:react": "parcel build src/index.ts", - "dev": "parcel src/index.html -p 3000", + "serve": "parcel serve -p 3000", + "dev": "parcel -p 3000", "test": "jest", "lint": "eslint", "check": "tsc --noEmit", diff --git a/extensions/react-widget/src/App.tsx b/extensions/react-widget/src/App.tsx index ec9de47b..4bb24bae 100644 --- a/extensions/react-widget/src/App.tsx +++ b/extensions/react-widget/src/App.tsx @@ -1,11 +1,11 @@ import React from "react" import {DocsGPTWidget} from "./components/DocsGPTWidget" -const App = () => { +import {SearchBar} from "./components/SearchBar" +export const App = () => { return (
+
) -} - -export default App \ No newline at end of file +} \ No newline at end of file diff --git a/extensions/react-widget/src/browser.tsx b/extensions/react-widget/src/browser.tsx new file mode 100644 index 00000000..8bee7748 --- /dev/null +++ b/extensions/react-widget/src/browser.tsx @@ -0,0 +1,22 @@ +//exports browser ready methods + +import { createRoot } from "react-dom/client"; + +import { DocsGPTWidget } from './components/DocsGPTWidget'; +import { SearchBar } from './components/SearchBar'; +import React from "react"; +if (typeof window !== 'undefined') { + const renderWidget = (elementId: string, props = {}) => { + const root = createRoot(document.getElementById(elementId) as HTMLElement); + root.render(); + }; + const renderSearchBar = (elementId: string, props = {}) => { + const root = createRoot(document.getElementById(elementId) as HTMLElement); + root.render(); + }; + (window as any).renderDocsGPTWidget = renderWidget; + + (window as any).renderSearchBar = renderSearchBar; +} + +export { DocsGPTWidget, SearchBar }; diff --git a/extensions/react-widget/src/components/DocsGPTWidget.tsx b/extensions/react-widget/src/components/DocsGPTWidget.tsx index 1baa4c62..d6273eaa 100644 --- a/extensions/react-widget/src/components/DocsGPTWidget.tsx +++ b/extensions/react-widget/src/components/DocsGPTWidget.tsx @@ -1,9 +1,9 @@ "use client"; import React, { useRef } from 'react' import DOMPurify from 'dompurify'; -import styled, { keyframes, createGlobalStyle } from 'styled-components'; +import styled, { keyframes, css } from 'styled-components'; import { PaperPlaneIcon, RocketIcon, ExclamationTriangleIcon, Cross2Icon } from '@radix-ui/react-icons'; -import { FEEDBACK, MESSAGE_TYPE, Query, Status, WidgetProps } from '../types/index'; +import { FEEDBACK, MESSAGE_TYPE, Query, Status, WidgetCoreProps, WidgetProps } from '../types/index'; import { fetchAnswerStreaming, sendFeedback } from '../requests/streamingApi'; import { ThemeProvider } from 'styled-components'; import Like from "../assets/like.svg" @@ -49,7 +49,86 @@ const sizesConfig = { maxHeight: custom.maxHeight || '70vh', }), }; +const createBox = keyframes` + 0% { + transform: scale(0.6); + } + 90% { + transform: scale(1.02); + } + 100% { + transform: scale(1); + } +` +const closeBox = keyframes` + 0% { + transform: scale(1); + } + 10% { + transform: scale(1.02); + } + 100% { + transform: scale(0.6); + } +` +const openContainer = keyframes` + 0% { + width: 200px; + height: 100px; + } + 100% { + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + border-radius: 12px; + }` +const closeContainer = keyframes` + 0% { + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + border-radius: 12px; + } + 100% { + width: 200px; + height: 100px; + } +` +const fadeIn = keyframes` + from { + opacity: 0; + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + transform: scale(0.9); + } + to { + opacity: 1; + transform: scale(1); + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + } +` + +const fadeOut = keyframes` + from { + opacity: 1; + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + } + to { + opacity: 0; + transform: scale(0.9); + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height}; + } +` +const scaleAnimation = keyframes` + from { + transform: scale(1.2); + } + to { + transform: scale(1); + } +` const Overlay = styled.div` position: fixed; top: 0; @@ -60,53 +139,35 @@ const Overlay = styled.div` z-index: 999; transition: opacity 0.5s; ` + + const WidgetContainer = styled.div<{ modal?: boolean, isOpen?: boolean }>` all: initial; position: fixed; right: ${props => props.modal ? '50%' : '10px'}; bottom: ${props => props.modal ? '50%' : '10px'}; - z-index: 1000; - display: none; + z-index: 1001; transform-origin:100% 100%; + display: block; + &.modal{ + transform : translate(50%,50%); + } &.open { - animation: createBox 250ms cubic-bezier(0.25, 0.1, 0.25, 1) forwards; + animation: css ${createBox} 250ms cubic-bezier(0.25, 0.1, 0.25, 1) forwards; } &.close { - animation: closeBox 250ms cubic-bezier(0.25, 0.1, 0.25, 1) forwards; + animation: css ${closeBox} 250ms cubic-bezier(0.25, 0.1, 0.25, 1) forwards; } - ${props => props.modal && - "transform : translate(50%,50%);" - } align-items: center; text-align: left; - @keyframes createBox { - 0% { - transform: scale(0.6); - } - 90% { - transform: scale(1.02); - } - 100% { - transform: scale(1); - } - } - - @keyframes closeBox { - 0% { - transform: scale(1); - } - 10% { - transform: scale(1.02); - } - 100% { - transform: scale(0.6); - } - } `; + const StyledContainer = styled.div<{ isOpen: boolean }>` all: initial; max-height: ${(props) => props.theme.dimensions.maxHeight}; max-width: ${(props) => props.theme.dimensions.maxWidth}; + width: ${(props) => props.theme.dimensions.width}; + height: ${(props) => props.theme.dimensions.height} ; position: relative; flex-direction: column; justify-content: space-between; @@ -119,68 +180,20 @@ const StyledContainer = styled.div<{ isOpen: boolean }>` box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05), 0 2px 4px rgba(0, 0, 0, 0.1); padding: 26px 26px 0px 26px; animation: ${({ isOpen, theme }) => - theme.dimensions.size === 'large' - ? isOpen - ? 'fadeIn 150ms ease-in forwards' - : 'fadeOut 150ms ease-in forwards' - : isOpen - ? 'openContainer 150ms ease-in forwards' - : 'closeContainer 250ms ease-in forwards'}; - @keyframes openContainer { - 0% { - width: 200px; - height: 100px; - } - 100% { - width: ${(props) => props.theme.dimensions.width}; - height: ${(props) => props.theme.dimensions.height}; - border-radius: 12px; - } - } - @keyframes closeContainer { - 0% { - width: ${(props) => props.theme.dimensions.width}; - height: ${(props) => props.theme.dimensions.height}; - border-radius: 12px; - } - 100% { - width: 200px; - height: 100px; - } - } - @keyframes fadeIn { - from { - opacity: 0; - width: ${(props) => props.theme.dimensions.width}; - height: ${(props) => props.theme.dimensions.height}; - transform: scale(0.9); - } - to { - opacity: 1; - transform: scale(1); - width: ${(props) => props.theme.dimensions.width}; - height: ${(props) => props.theme.dimensions.height}; - } - } - @keyframes fadeOut { - from { - opacity: 1; - width: ${(props) => props.theme.dimensions.width}; - height: ${(props) => props.theme.dimensions.height}; - } - to { - opacity: 0; - transform: scale(0.9); - width: ${(props) => props.theme.dimensions.width}; - height: ${(props) => props.theme.dimensions.height}; - } - } + theme.dimensions.size === 'large' + ? isOpen + ? css`${fadeIn} 150ms ease-in forwards` + : css` ${fadeOut} 150ms ease-in forwards` + : isOpen + ? css`${openContainer} 150ms ease-in forwards` + : css`${closeContainer} 250ms ease-in forwards`}; @media only screen and (max-width: 768px) { max-height: 100vh; max-width: 80vw; overflow: auto; } `; + const FloatingButton = styled.div<{ bgcolor: string, hidden: boolean, isAnimatingButton: boolean }>` position: fixed; display: ${props => props.hidden ? "none" : "flex"}; @@ -198,7 +211,7 @@ const FloatingButton = styled.div<{ bgcolor: string, hidden: boolean, isAnimatin background: ${props => props.bgcolor}; box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); cursor: pointer; - animation: ${props => props.isAnimatingButton ? 'scaleAnimation 200ms forwards' : 'none'}; + animation: ${props => props.isAnimatingButton ? css`${scaleAnimation} 200ms forwards` : 'none'}; &:hover { transform: scale(1.1); transition: transform 0.2s ease-in-out; @@ -206,15 +219,6 @@ const FloatingButton = styled.div<{ bgcolor: string, hidden: boolean, isAnimatin &:not(:hover) { transition: transform 0.2s ease-in-out; } - - @keyframes scaleAnimation { - from { - transform: scale(1.2); - } - to { - transform: scale(1); - } - } `; const CancelButton = styled.button` cursor: pointer; @@ -478,7 +482,47 @@ const Hero = ({ title, description, theme }: { title: string, description: strin ); }; -export const DocsGPTWidget = ({ +export const DocsGPTWidget = (props: WidgetProps) => { + + const { + buttonIcon = 'https://d3dg1063dc54p9.cloudfront.net/widget/chat.svg', + buttonText = 'Ask a question', + buttonBg = 'linear-gradient(to bottom right, #5AF0EC, #E80D9D)', + defaultOpen = false, + ...coreProps + } = props + + const [open, setOpen] = React.useState(defaultOpen); + const [isAnimatingButton, setIsAnimatingButton] = React.useState(false); + const [isFloatingButtonVisible, setIsFloatingButtonVisible] = React.useState(true); + + React.useEffect(() => { + if (isFloatingButtonVisible) + setTimeout(() => setIsAnimatingButton(true), 250); + return () => { + setIsAnimatingButton(false) + } + }, [isFloatingButtonVisible]) + + const handleClose = () => { + setIsFloatingButtonVisible(true); + setOpen(false); + }; + const handleOpen = () => { + setOpen(true); + setIsFloatingButtonVisible(false); + } + return ( + <> + + + + ) +} +export const WidgetCore = ({ apiHost = 'https://gptcloud.arc53.com', apiKey = '82962c9a-aa77-4152-94e5-a4f84fd44c6a', avatar = 'https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png', @@ -488,25 +532,37 @@ export const DocsGPTWidget = ({ heroDescription = 'This chatbot is built with DocsGPT and utilises GenAI, please review important information using sources.', size = 'small', theme = 'dark', - buttonIcon = 'https://d3dg1063dc54p9.cloudfront.net/widget/chat.svg', - buttonText = 'Ask a question', - buttonBg = 'linear-gradient(to bottom right, #5AF0EC, #E80D9D)', collectFeedback = true, - deafultOpen = false -}: WidgetProps) => { - const [prompt, setPrompt] = React.useState(''); + isOpen = false, + prefilledQuery = "", + handleClose +}: WidgetCoreProps) => { + const [prompt, setPrompt] = React.useState(""); + const [mounted, setMounted] = React.useState(false); const [status, setStatus] = React.useState('idle'); - const [queries, setQueries] = React.useState([]) - const [conversationId, setConversationId] = React.useState(null) - const [open, setOpen] = React.useState(deafultOpen) + const [queries, setQueries] = React.useState([]); + const [conversationId, setConversationId] = React.useState(null); const [eventInterrupt, setEventInterrupt] = React.useState(false); //click or scroll by user while autoScrolling - const [isAnimatingButton, setIsAnimatingButton] = React.useState(false); - const [isFloatingButtonVisible, setIsFloatingButtonVisible] = React.useState(true); - const isBubbleHovered = useRef(false) - const widgetRef = useRef(null) + + const isBubbleHovered = useRef(false); const endMessageRef = React.useRef(null); const md = new MarkdownIt(); + React.useEffect(() => { + if (isOpen) { + setMounted(true); // Mount the component + appendQuery(prefilledQuery) + } else { + // Wait for animations before unmounting + const timeout = setTimeout(() => { + setMounted(false) + }, 250); + return () => clearTimeout(timeout); + } + }, [isOpen]); + + + const handleUserInterrupt = () => { (status === 'loading') && setEventInterrupt(true); } @@ -606,144 +662,138 @@ export const DocsGPTWidget = ({ } // submit handler const handleSubmit = async (e: React.FormEvent) => { - e.preventDefault() + e.preventDefault(); + await appendQuery(prompt) + } + + const appendQuery = async (userQuery:string) => { + console.log(userQuery) + if(!userQuery) + return; + setEventInterrupt(false); - queries.push({ prompt }) - setPrompt('') - await stream(prompt) + queries.push({ prompt:userQuery}); + setPrompt(''); + await stream(userQuery); } const handleImageError = (event: React.SyntheticEvent) => { event.currentTarget.src = "https://d3dg1063dc54p9.cloudfront.net/cute-docsgpt.png"; }; - const handleClose = () => { - setOpen(false); - setTimeout(() => { - if (widgetRef.current) widgetRef.current.style.display = "none"; - setIsFloatingButtonVisible(true); - setIsAnimatingButton(true); - setTimeout(() => setIsAnimatingButton(false), 200); - }, 250) - }; - const handleOpen = () => { - setOpen(true); - setIsFloatingButtonVisible(false); - if (widgetRef.current) - widgetRef.current.style.display = 'block' - } + const dimensions = typeof size === 'object' && 'custom' in size ? sizesConfig.getCustom(size.custom) : sizesConfig[size]; - + if (!mounted) return null; return ( - {open && size === 'large' && + {isOpen && size === 'large' && } - - - { -
- - - -
- docs-gpt - - {title} - {description} - -
-
- - { - queries.length > 0 ? queries?.map((query, index) => { - return ( - - { - query.prompt && - - {query.prompt} - - - } - { - query.response ? { isBubbleHovered.current = true }} type='ANSWER'> - - - + {( + + +
+ + + +
+ docs-gpt + + {title} + {description} + +
+
+ + { + queries.length > 0 ? queries?.map((query, index) => { + return ( + + { + query.prompt && + + {query.prompt} + + + } + { + query.response ? { isBubbleHovered.current = true }} type='ANSWER'> + + + - {collectFeedback && - - handleFeedback("LIKE", index)} /> - handleFeedback("DISLIKE", index)} /> - } - - :
- { - query.error ? + {collectFeedback && + + handleFeedback("LIKE", index)} /> + handleFeedback("DISLIKE", index)} /> + } + + :
+ { + query.error ? - -
-
Network Error
- {query.error} -
- - : - - . - . - . - - - } -
- } - ) - }) - : - } - -
- - setPrompt(event.target.value)} - type='text' placeholder="Ask your question" /> - - - - - - Powered by  - DocsGPT - -
- } - + +
+
Network Error
+ {query.error} +
+ + : + + . + . + . + + + } +
+ } + ) + }) + : + } + +
+ + setPrompt(event.target.value)} + type='text' placeholder="Ask your question" /> + + + + + + Powered by  + DocsGPT + +
+ + + ) + } ) } \ No newline at end of file diff --git a/extensions/react-widget/src/components/SearchBar.tsx b/extensions/react-widget/src/components/SearchBar.tsx new file mode 100644 index 00000000..42262e08 --- /dev/null +++ b/extensions/react-widget/src/components/SearchBar.tsx @@ -0,0 +1,405 @@ +import React from 'react' +import styled, { ThemeProvider } from 'styled-components'; +import { WidgetCore } from './DocsGPTWidget'; +import { SearchBarProps } from '@/types'; +import { getSearchResults } from '../requests/searchAPI' +import { Result } from '@/types'; +import MarkdownIt from 'markdown-it'; +import { getOS, preprocessSearchResultsToHTML } from '../utils/helper' +const themes = { + dark: { + bg: '#000', + text: '#fff', + primary: { + text: "#FAFAFA", + bg: '#111111' + }, + secondary: { + text: "#A1A1AA", + bg: "#38383b" + } + }, + light: { + bg: '#fff', + text: '#000', + primary: { + text: "#222327", + bg: "#fff" + }, + secondary: { + text: "#A1A1AA", + bg: "#F6F6F6" + } + } +} + +const Main = styled.div` + all:initial; + font-family: sans-serif; +` +const TextField = styled.input<{ inputWidth: string }>` + padding: 6px 6px; + width: ${({ inputWidth }) => inputWidth}; + border-radius: 8px; + display: inline; + color: ${props => props.theme.primary.text}; + outline: none; + border: none; + background-color: ${props => props.theme.secondary.bg}; + -webkit-appearance: none; + -moz-appearance: none; + appearance: none; + transition: background-color 128ms linear; + &:focus { + outline: none; + box-shadow: + 0px 0px 0px 2px rgba(0, 109, 199), + 0px 0px 6px rgb(0, 90, 163), + 0px 2px 6px rgba(0, 0, 0, 0.1) ; + background-color: ${props => props.theme.primary.bg}; + } +` + +const Container = styled.div` + position: relative; + display: inline-block; +` +const SearchResults = styled.div` + position: absolute; + display: block; + background-color: ${props => props.theme.primary.bg}; + border: 1px solid rgba(0, 0, 0, .1); + border-radius: 12px; + padding: 8px; + width: 576px; + min-width: 96%; + z-index: 100; + height: 25vh; + overflow-y: auto; + top: 32px; + color: ${props => props.theme.primary.text}; + scrollbar-color: lab(48.438 0 0 / 0.4) rgba(0, 0, 0, 0); + scrollbar-gutter: stable; + scrollbar-width: thin; + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.05), 0 2px 4px rgba(0, 0, 0, 0.1); + backdrop-filter: blur(16px); + @media only screen and (max-width: 768px) { + max-height: 100vh; + max-width: 80vw; + overflow: auto; + } +` +const Title = styled.h3` + font-size: 14px; + color: ${props => props.theme.primary.text}; + opacity: 0.8; + padding-bottom: 6px; + font-weight: 600; + text-transform: uppercase; + border-bottom: 1px solid ${(props) => props.theme.secondary.text}; +` +const Content = styled.div` + font-family: system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif; +` +const ResultWrapper = styled.div` + padding: 4px 8px 4px 8px; + border-radius: 8px; + cursor: pointer; + &.contains-source:hover{ + background-color: rgba(0, 92, 197, 0.15); + ${Title} { + color: rgb(0, 126, 230); + } + } +` +const Markdown = styled.div` +line-height:20px; +font-size: 12px; +white-space: pre-wrap; + pre { + padding: 8px; + width: 90%; + font-size: 12px; + border-radius: 6px; + overflow-x: auto; + background-color: #1B1C1F; + color: #fff ; + } + + h1,h2 { + font-size: 16px; + font-weight: 600; + color: ${(props) => props.theme.text}; + opacity: 0.8; + } + + + h3 { + font-size: 14px; + } + + p { + margin: 0px; + line-height: 1.35rem; + font-size: 12px; + } + + code:not(pre code) { + border-radius: 6px; + padding: 2px 2px; + margin: 2px; + font-size: 10px; + display: inline; + background-color: #646464; + color: #fff ; + } + img{ + max-width: 50%; + } + code { + overflow-x: auto; + } + a{ + color: #007ee6; + } +` +const Toolkit = styled.kbd` + position: absolute; + right: 4px; + top: 4px; + background-color: ${(props) => props.theme.primary.bg}; + color: ${(props) => props.theme.secondary.text}; + font-weight: 600; + font-size: 10px; + padding: 3px; + border: 1px solid ${(props) => props.theme.secondary.text}; + border-radius: 4px; +` +const Loader = styled.div` + margin: 2rem auto; + border: 4px solid ${props => props.theme.secondary.text}; + border-top: 4px solid ${props => props.theme.primary.bg}; + border-radius: 50%; + width: 12px; + height: 12px; + animation: spin 1s linear infinite; + + @keyframes spin { + 0% { + transform: rotate(0deg); + } + 100% { + transform: rotate(360deg); + } + } +`; + +const NoResults = styled.div` + margin-top: 2rem; + text-align: center; + font-size: 1rem; + color: #888; +`; +const InfoButton = styled.button` + cursor: pointer; + padding: 10px 4px 10px 4px; + display: block; + width: 100%; + color: inherit; + border-radius: 6px; + background-color: ${(props) => props.theme.bg}; + text-align: center; + font-size: 14px; + margin-bottom: 8px; + border:1px solid ${(props) => props.theme.secondary.text}; + +` +export const SearchBar = ({ + apiKey = "74039c6d-bff7-44ce-ae55-2973cbf13837", + apiHost = "https://gptcloud.arc53.com", + theme = "dark", + placeholder = "Search or Ask AI...", + width = "256px" +}: SearchBarProps) => { + const [input, setInput] = React.useState(""); + const [loading, setLoading] = React.useState(false); + const [isWidgetOpen, setIsWidgetOpen] = React.useState(false); + const inputRef = React.useRef(null); + const containerRef = React.useRef(null); + const [isResultVisible, setIsResultVisible] = React.useState(true); + const [results, setResults] = React.useState([]); + const debounceTimeout = React.useRef | null>(null); + const abortControllerRef = React.useRef(null) + const browserOS = getOS(); + function isTouchDevice() { + return 'ontouchstart' in window; + } + const isTouch = isTouchDevice(); + const getKeyboardInstruction = () => { + if (isResultVisible) return "Enter" + if (browserOS === 'mac') + return "⌘ K" + else + return "Ctrl K" + } + React.useEffect(() => { + const handleFocusSearch = (event: KeyboardEvent) => { + if ( + ((browserOS === 'win' || browserOS === 'linux') && event.ctrlKey && event.key === 'k') || + (browserOS === 'mac' && event.metaKey && event.key === 'k') + ) { + event.preventDefault(); + inputRef.current?.focus(); + } + } + const handleClickOutside = (event: MouseEvent) => { + if ( + containerRef.current && + !containerRef.current.contains(event.target as Node) + ) { + setIsResultVisible(false); + } + }; + document.addEventListener('mousedown', handleClickOutside); + document.addEventListener('keydown', handleFocusSearch); + return () => { + setIsResultVisible(true); + document.removeEventListener('mousedown', handleClickOutside); + }; + }, []) + React.useEffect(() => { + if (!input) { + setResults([]); + return; + } + setLoading(true); + if (debounceTimeout.current) { + clearTimeout(debounceTimeout.current); + } + + if (abortControllerRef.current) { + abortControllerRef.current.abort(); + } + const abortController = new AbortController(); + abortControllerRef.current = abortController; + + debounceTimeout.current = setTimeout(() => { + getSearchResults(input, apiKey, apiHost, abortController.signal) + .then((data) => setResults(data)) + .catch((err) => !abortController.signal.aborted && console.log(err)) + .finally(() => setLoading(false)); + }, 500); + + return () => { + console.log(results); + + abortController.abort(); + clearTimeout(debounceTimeout.current ?? undefined); + }; + }, [input]) + + const handleKeyDown = (event: React.KeyboardEvent) => { + if (event.key === 'Enter') { + event.preventDefault(); + openWidget(); + } + }; + const openWidget = () => { + setIsWidgetOpen(true); + setIsResultVisible(false) + } + const handleClose = () => { + setIsWidgetOpen(false); + } + const md = new MarkdownIt(); + return ( + +
+ + setIsResultVisible(true)} + ref={inputRef} + onSubmit={() => setIsWidgetOpen(true)} + onKeyDown={(e) => handleKeyDown(e)} + placeholder={placeholder} + value={input} + onChange={(e) => setInput(e.target.value)} + /> + { + input.length > 0 && isResultVisible && ( + + + { + isTouch ? + "Ask the AI" : + <> + Press ↵ Enter to ask the AI + + } + + {!loading ? + (results.length > 0 ? + results.map((res, key) => { + const containsSource = res.source !== 'local'; + const filteredResults = preprocessSearchResultsToHTML(res.text,input) + if (filteredResults) + return ( + { + if (!containsSource) return; + window.open(res.source, '_blank', 'noopener, noreferrer') + }} + className={containsSource ? "contains-source" : ""}> + {res.title} + + + + + ) + else { + setResults((prevItems) => prevItems.filter((_, index) => index !== key)); + } + }) + : + No results + ) + : + + } + + ) + } + { + isTouch ? + + { + setIsWidgetOpen(true) + }} + title={"Tap to Ask the AI"}> + Tap + + : + + {getKeyboardInstruction()} + + } + + +
+ + ) +} \ No newline at end of file diff --git a/extensions/react-widget/src/index.html b/extensions/react-widget/src/index.html index 0f0710d5..40eaad15 100644 --- a/extensions/react-widget/src/index.html +++ b/extensions/react-widget/src/index.html @@ -9,11 +9,11 @@
- - --> diff --git a/extensions/react-widget/src/index.ts b/extensions/react-widget/src/index.ts index 1efa89a6..5f2e30e8 100644 --- a/extensions/react-widget/src/index.ts +++ b/extensions/react-widget/src/index.ts @@ -1 +1,3 @@ -export { DocsGPTWidget } from "./components/DocsGPTWidget"; \ No newline at end of file +//exports methods for React +export {SearchBar} from "./components/SearchBar" +export { DocsGPTWidget } from "./components/DocsGPTWidget"; diff --git a/extensions/react-widget/src/main.tsx b/extensions/react-widget/src/main.tsx index 4fb3bbb4..a1a47065 100644 --- a/extensions/react-widget/src/main.tsx +++ b/extensions/react-widget/src/main.tsx @@ -1,12 +1,7 @@ -import React from 'react'; -import { createRoot } from 'react-dom/client'; -import { DocsGPTWidget } from './components/DocsGPTWidget'; - -if (typeof window !== 'undefined') { - const renderWidget = (elementId: string, props = {}) => { - const root = createRoot(document.getElementById(elementId) as HTMLElement); - root.render(); - }; - (window as any).renderDocsGPTWidget = renderWidget; -} -export { DocsGPTWidget }; \ No newline at end of file +//development +import { createRoot } from "react-dom/client"; +import { App } from "./App"; +import React from "react"; +const container = document.getElementById("app") as HTMLElement; +const root = createRoot(container) +root.render(); \ No newline at end of file diff --git a/extensions/react-widget/src/requests/searchAPI.ts b/extensions/react-widget/src/requests/searchAPI.ts new file mode 100644 index 00000000..7411a810 --- /dev/null +++ b/extensions/react-widget/src/requests/searchAPI.ts @@ -0,0 +1,37 @@ +import { Result } from "@/types"; + +async function getSearchResults(question: string, apiKey: string, apiHost: string, signal: AbortSignal): Promise { + + const payload = { + question, + api_key: apiKey + }; + + try { + const response = await fetch(`${apiHost}/api/search`, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify(payload), + signal: signal + }); + + if (!response.ok) { + throw new Error(`Error: ${response.status}`); + } + + const data: Result[] = await response.json(); + return data; + + } catch (error) { + if (!(error instanceof DOMException && error.name == "AbortError")) { + console.error("Failed to fetch documents:", error); + } + throw error; + } +} + +export { + getSearchResults +} \ No newline at end of file diff --git a/extensions/react-widget/src/types/index.ts b/extensions/react-widget/src/types/index.ts index 717efd92..cea9e43a 100644 --- a/extensions/react-widget/src/types/index.ts +++ b/extensions/react-widget/src/types/index.ts @@ -32,5 +32,25 @@ export interface WidgetProps { buttonText?:string; buttonBg?:string; collectFeedback?:boolean; - deafultOpen?: boolean; -} \ No newline at end of file + defaultOpen?: boolean; +} +export interface WidgetCoreProps extends WidgetProps { + widgetRef?:React.RefObject | null; + handleClose?:React.MouseEventHandler | undefined; + isOpen:boolean; + prefilledQuery?: string; +} + +export interface SearchBarProps { + apiHost?: string; + apiKey?: string; + theme?:THEME; + placeholder?:string; + width?:string; +} + +export interface Result { + text:string; + title:string; + source:string; +} diff --git a/extensions/react-widget/src/utils/helper.ts b/extensions/react-widget/src/utils/helper.ts new file mode 100644 index 00000000..d9aa19c3 --- /dev/null +++ b/extensions/react-widget/src/utils/helper.ts @@ -0,0 +1,87 @@ +import MarkdownIt from "markdown-it"; +import DOMPurify from "dompurify"; +export const getOS = () => { + const platform = window.navigator.platform; + const userAgent = window.navigator.userAgent || window.navigator.vendor; + + if (/Mac/i.test(platform)) { + return 'mac'; + } + + if (/Win/i.test(platform)) { + return 'win'; + } + + if (/Linux/i.test(platform) && !/Android/i.test(userAgent)) { + return 'linux'; + } + + if (/Android/i.test(userAgent)) { + return 'android'; + } + + if (/iPhone|iPad|iPod/i.test(userAgent)) { + return 'ios'; + } + + return 'other'; +}; + +export const preprocessSearchResultsToHTML = (text: string, keyword: string) => { + const md = new MarkdownIt(); + const htmlString = md.render(text); + + // Container for processed HTML + const filteredResults = document.createElement("div"); + filteredResults.innerHTML = htmlString; + + if (!processNode(filteredResults, keyword.trim())) return null; + + return filteredResults.innerHTML.trim() ? filteredResults.outerHTML : null; +}; + + + +// Recursive function to process nodes +const processNode = (node: Node, keyword: string): boolean => { + + const keywordRegex = new RegExp(`(${keyword})`, "gi"); + if (node.nodeType === Node.TEXT_NODE) { + const textContent = node.textContent || ""; + + if (textContent.toLowerCase().includes(keyword.toLowerCase())) { + const highlightedHTML = textContent.replace( + keywordRegex, + `$1` + ); + const tempContainer = document.createElement("div"); + tempContainer.innerHTML = highlightedHTML; + + // Replace the text node with highlighted content + while (tempContainer.firstChild) { + node.parentNode?.insertBefore(tempContainer.firstChild, node); + } + node.parentNode?.removeChild(node); + + return true; + } + + return false; + } else if (node.nodeType === Node.ELEMENT_NODE) { + + const children = Array.from(node.childNodes); + let hasKeyword = false; + + children.forEach((child) => { + if (!processNode(child, keyword)) { + node.removeChild(child); + } else { + hasKeyword = true; + } + }); + + return hasKeyword; + } + + return false; +}; \ No newline at end of file diff --git a/extensions/react-widget/tsconfig.json b/extensions/react-widget/tsconfig.json index e73dd80f..88e86216 100644 --- a/extensions/react-widget/tsconfig.json +++ b/extensions/react-widget/tsconfig.json @@ -21,7 +21,7 @@ /* Linting */ "strict": true, "noUnusedLocals": false, - "noUnusedParameters": true, + "noUnusedParameters": false, "noFallthroughCasesInSwitch": true, /* The "typeRoots" configuration specifies the locations where TypeScript looks for type definitions (.d.ts files) to diff --git a/frontend/index.html b/frontend/index.html index 5af1721b..30faadc9 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -5,7 +5,7 @@ - DocsGPT 🦖 + DocsGPT diff --git a/frontend/package-lock.json b/frontend/package-lock.json index 9973bb9e..f96a17d4 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -17,7 +17,8 @@ "react-chartjs-2": "^5.2.0", "react-copy-to-clipboard": "^5.1.0", "react-dom": "^18.3.1", - "react-dropzone": "^14.2.3", + "react-dropzone": "^14.3.5", + "react-helmet": "^6.1.0", "react-i18next": "^15.0.2", "react-markdown": "^9.0.1", "react-redux": "^8.0.5", @@ -30,28 +31,29 @@ "devDependencies": { "@types/react": "^18.0.27", "@types/react-dom": "^18.3.0", + "@types/react-helmet": "^6.1.11", "@types/react-syntax-highlighter": "^15.5.13", "@typescript-eslint/eslint-plugin": "^5.51.0", "@typescript-eslint/parser": "^5.62.0", - 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"version": "5.4.6", - "resolved": "https://registry.npmjs.org/vite/-/vite-5.4.6.tgz", - "integrity": "sha512-IeL5f8OO5nylsgzd9tq4qD2QqI0k2CQLGrWD0rCN0EQJZpBK5vJAx0I+GDkMOXxQX/OfFHMuLIx6ddAxGX/k+Q==", + "version": "5.4.11", + "resolved": "https://registry.npmjs.org/vite/-/vite-5.4.11.tgz", + "integrity": "sha512-c7jFQRklXua0mTzneGW9QVyxFjUgwcihC4bXEtujIo2ouWCe1Ajt/amn2PCxYnhYfd5k09JX3SB7OYWFKYqj8Q==", "dev": true, "dependencies": { "esbuild": "^0.21.3", @@ -9593,39 +9584,43 @@ } }, "node_modules/which-boxed-primitive": { - "version": "1.0.2", - "resolved": "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.0.2.tgz", - "integrity": "sha512-bwZdv0AKLpplFY2KZRX6TvyuN7ojjr7lwkg6ml0roIy9YeuSr7JS372qlNW18UQYzgYK9ziGcerWqZOmEn9VNg==", + "version": "1.1.0", + "resolved": "https://registry.npmjs.org/which-boxed-primitive/-/which-boxed-primitive-1.1.0.tgz", + "integrity": "sha512-Ei7Miu/AXe2JJ4iNF5j/UphAgRoma4trE6PtisM09bPygb3egMH3YLW/befsWb1A1AxvNSFidOFTB18XtnIIng==", "dev": true, "dependencies": { - "is-bigint": "^1.0.1", - "is-boolean-object": "^1.1.0", - "is-number-object": "^1.0.4", - "is-string": "^1.0.5", - "is-symbol": "^1.0.3" + "is-bigint": "^1.1.0", + "is-boolean-object": "^1.2.0", + "is-number-object": "^1.1.0", + "is-string": "^1.1.0", + "is-symbol": "^1.1.0" + }, + "engines": { + "node": ">= 0.4" }, "funding": { "url": "https://github.com/sponsors/ljharb" } }, "node_modules/which-builtin-type": { - "version": "1.1.4", - "resolved": "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.1.4.tgz", - "integrity": "sha512-bppkmBSsHFmIMSl8BO9TbsyzsvGjVoppt8xUiGzwiu/bhDCGxnpOKCxgqj6GuyHE0mINMDecBFPlOm2hzY084w==", + "version": "1.2.1", + "resolved": "https://registry.npmjs.org/which-builtin-type/-/which-builtin-type-1.2.1.tgz", + "integrity": "sha512-6iBczoX+kDQ7a3+YJBnh3T+KZRxM/iYNPXicqk66/Qfm1b93iu+yOImkg0zHbj5LNOcNv1TEADiZ0xa34B4q6Q==", "dev": true, "dependencies": { + "call-bound": "^1.0.2", "function.prototype.name": "^1.1.6", "has-tostringtag": "^1.0.2", "is-async-function": "^2.0.0", - "is-date-object": "^1.0.5", - "is-finalizationregistry": "^1.0.2", + "is-date-object": "^1.1.0", + "is-finalizationregistry": "^1.1.0", "is-generator-function": "^1.0.10", - "is-regex": "^1.1.4", + "is-regex": "^1.2.1", "is-weakref": "^1.0.2", "isarray": "^2.0.5", - "which-boxed-primitive": "^1.0.2", + "which-boxed-primitive": "^1.1.0", "which-collection": "^1.0.2", - "which-typed-array": "^1.1.15" + "which-typed-array": "^1.1.16" }, "engines": { "node": ">= 0.4" @@ -9653,9 +9648,9 @@ } }, "node_modules/which-typed-array": { - "version": "1.1.15", - "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.15.tgz", - "integrity": "sha512-oV0jmFtUky6CXfkqehVvBP/LSWJ2sy4vWMioiENyJLePrBO/yKyV9OyJySfAKosh+RYkIl5zJCNZ8/4JncrpdA==", + "version": "1.1.16", + "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.16.tgz", + "integrity": "sha512-g+N+GAWiRj66DngFwHvISJd+ITsyphZvD1vChfVg6cEdnzy53GzB3oy0fUNlvhz7H7+MiqhYr26qxQShCpKTTQ==", "dev": true, "dependencies": { "available-typed-arrays": "^1.0.7", diff --git a/frontend/package.json b/frontend/package.json index 83d531d6..868a72ae 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -28,7 +28,8 @@ "react-chartjs-2": "^5.2.0", "react-copy-to-clipboard": "^5.1.0", "react-dom": "^18.3.1", - "react-dropzone": "^14.2.3", + "react-helmet": "^6.1.0", + "react-dropzone": "^14.3.5", "react-i18next": "^15.0.2", "react-markdown": "^9.0.1", "react-redux": "^8.0.5", @@ -41,28 +42,29 @@ "devDependencies": { "@types/react": "^18.0.27", "@types/react-dom": "^18.3.0", + "@types/react-helmet": "^6.1.11", "@types/react-syntax-highlighter": "^15.5.13", "@typescript-eslint/eslint-plugin": "^5.51.0", "@typescript-eslint/parser": "^5.62.0", - "@vitejs/plugin-react": "^4.3.1", + "@vitejs/plugin-react": "^4.3.4", "autoprefixer": "^10.4.13", "eslint": "^8.57.1", "eslint-config-prettier": "^9.1.0", "eslint-config-standard-with-typescript": "^34.0.0", - "eslint-plugin-import": "^2.30.0", + "eslint-plugin-import": "^2.31.0", "eslint-plugin-n": "^15.7.0", "eslint-plugin-prettier": "^5.2.1", "eslint-plugin-promise": "^6.6.0", - "eslint-plugin-react": "^7.35.0", + "eslint-plugin-react": "^7.37.2", "eslint-plugin-unused-imports": "^4.1.4", "husky": "^8.0.0", "lint-staged": "^15.2.10", "postcss": "^8.4.41", "prettier": "^3.3.3", "prettier-plugin-tailwindcss": "^0.6.8", - "tailwindcss": "^3.4.11", + "tailwindcss": "^3.4.15", "typescript": "^5.6.2", - "vite": "^5.4.6", + "vite": "^5.4.11", "vite-plugin-svgr": "^4.2.0" } } diff --git a/frontend/src/Navigation.tsx b/frontend/src/Navigation.tsx index 324d5aa0..c29aaf20 100644 --- a/frontend/src/Navigation.tsx +++ b/frontend/src/Navigation.tsx @@ -18,6 +18,7 @@ import SourceDropdown from './components/SourceDropdown'; import { setConversation, updateConversationId, + handleAbort, } from './conversation/conversationSlice'; import ConversationTile from './conversation/ConversationTile'; import { useDarkTheme, useMediaQuery, useOutsideAlerter } from './hooks'; @@ -32,7 +33,6 @@ import { selectConversations, selectModalStateDeleteConv, selectSelectedDocs, - selectSelectedDocsStatus, selectSourceDocs, selectPaginatedDocuments, setConversations, @@ -51,21 +51,7 @@ interface NavigationProps { navOpen: boolean; setNavOpen: React.Dispatch>; } -/* const NavImage: React.FC<{ - Light: string | undefined; - Dark: string | undefined; -}> = ({ Light, Dark }) => { - return ( - <> - icon - icon - - ); -}; -NavImage.propTypes = { - Light: PropTypes.string, - Dark: PropTypes.string, -}; */ + export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { const dispatch = useDispatch(); const queries = useSelector(selectQueries); @@ -85,10 +71,6 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { const [apiKeyModalState, setApiKeyModalState] = useState('INACTIVE'); - const isSelectedDocsSet = useSelector(selectSelectedDocsStatus); - const [selectedDocsModalState, setSelectedDocsModalState] = - useState(isSelectedDocsSet ? 'INACTIVE' : 'ACTIVE'); - const [uploadModalState, setUploadModalState] = useState('INACTIVE'); @@ -180,6 +162,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { }; const resetConversation = () => { + handleAbort(); dispatch(setConversation([])); dispatch( updateConversationId({ @@ -491,11 +474,15 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { setModalState={setModalStateDeleteConv} handleDeleteAllConv={handleDeleteAllConversations} /> - + {uploadModalState === 'ACTIVE' && ( + setUploadModalState('INACTIVE')} + > + )} ); } diff --git a/frontend/src/assets/DragFileUpload.svg b/frontend/src/assets/DragFileUpload.svg new file mode 100644 index 00000000..1b41d193 --- /dev/null +++ b/frontend/src/assets/DragFileUpload.svg @@ -0,0 +1,4 @@ + + + + diff --git a/frontend/src/assets/user.png b/frontend/src/assets/user.png new file mode 100644 index 00000000..3cc5d2f1 Binary files /dev/null and b/frontend/src/assets/user.png differ diff --git a/frontend/src/components/Avatar.tsx b/frontend/src/components/Avatar.tsx index 202be207..7f8c5a93 100644 --- a/frontend/src/components/Avatar.tsx +++ b/frontend/src/components/Avatar.tsx @@ -5,7 +5,7 @@ export default function Avatar({ size, className, }: { - avatar: string | ReactNode; + avatar: ReactNode; size?: 'SMALL' | 'MEDIUM' | 'LARGE'; className: string; }) { diff --git a/frontend/src/components/DocumentPagination.tsx b/frontend/src/components/DocumentPagination.tsx index b0532362..f02ef1c0 100644 --- a/frontend/src/components/DocumentPagination.tsx +++ b/frontend/src/components/DocumentPagination.tsx @@ -19,7 +19,10 @@ const Pagination: React.FC = ({ onPageChange, onRowsPerPageChange, }) => { - const [rowsPerPageOptions] = useState([5, 10, 15, 20]); + const [isDropdownOpen, setIsDropdownOpen] = useState(false); + const rowsPerPageOptions = [5, 10, 20, 50]; + + const toggleDropdown = () => setIsDropdownOpen((prev) => !prev); const handlePreviousPage = () => { if (currentPage > 1) { @@ -41,31 +44,51 @@ const Pagination: React.FC = ({ onPageChange(totalPages); }; + const handleSelectRowsPerPage = (rows: number) => { + setIsDropdownOpen(false); + onRowsPerPageChange(rows); + }; + return (
-
+ {/* Rows per page dropdown */} +
Rows per page: - +
+ +
+ {rowsPerPageOptions.map((option) => ( +
handleSelectRowsPerPage(option)} + className={`cursor-pointer px-4 py-2 text-xs hover:bg-gray-100 dark:hover:bg-neutral-700 ${ + rowsPerPage === option + ? 'bg-gray-100 dark:bg-neutral-700 dark:text-light-gray' + : 'bg-white dark:bg-dark-charcoal dark:text-light-gray' + }`} + > + {option} +
+ ))} +
+
+ {/* Pagination controls */}
Page {currentPage} of {totalPages}
-
@@ -85,7 +108,7 @@ const Pagination: React.FC = ({ > arrow @@ -96,7 +119,7 @@ const Pagination: React.FC = ({ > arrow @@ -107,7 +130,7 @@ const Pagination: React.FC = ({ > arrow diff --git a/frontend/src/components/DropdownMenu.tsx b/frontend/src/components/DropdownMenu.tsx index 787d3b84..2e6c922c 100644 --- a/frontend/src/components/DropdownMenu.tsx +++ b/frontend/src/components/DropdownMenu.tsx @@ -48,7 +48,7 @@ export default function DropdownMenu({
-
-
+
+
+