CKT
commited on
Commit
·
4c571f8
1
Parent(s):
d21e0d2
MCP server working
Browse files- .gitignore +5 -0
- app.py +155 -0
- data/messages.json +1 -0
- data/profiles.json +12 -0
- data/questionnaire.json +11 -0
- requirements.txt +1 -0
- utils/__init__.py +0 -0
- utils/storage.py +0 -0
.gitignore
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venv/
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_context/
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.DS_Store
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.env
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.gradio/
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app.py
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import gradio as gr
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import random
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import json
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import uuid
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import os # Added for path joining
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from datetime import datetime # Added for timestamps
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# --- Start of JSON I/O Helper Functions ---
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DATA_DIR = "data" # This will be relative to app.py, so matchmaker/data
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PROFILES_FILE = os.path.join(DATA_DIR, "profiles.json")
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QUESTIONNAIRE_FILE = os.path.join(DATA_DIR, "questionnaire.json")
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MESSAGES_FILE = os.path.join(DATA_DIR, "messages.json") # Though not used in this step
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def load_json_data(filepath, default_data=None):
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"""Loads JSON data from a file. Returns default_data if file not found or error."""
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# Construct path relative to this script's directory if not absolute
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base_dir = os.path.dirname(os.path.abspath(__file__))
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absolute_filepath = os.path.join(base_dir, filepath) if not os.path.isabs(filepath) else filepath
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try:
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# Ensure directory exists before trying to open file
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file_dir = os.path.dirname(absolute_filepath)
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if not os.path.exists(file_dir):
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os.makedirs(file_dir, exist_ok=True)
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if not os.path.exists(absolute_filepath):
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with open(absolute_filepath, 'w') as f:
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effective_default = default_data
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if effective_default is None:
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if absolute_filepath.endswith("profiles.json"):
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effective_default = {}
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elif absolute_filepath.endswith("messages.json"):
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effective_default = []
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else: # questionnaire.json or other
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effective_default = {} # Should be pre-populated, but as a fallback
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json.dump(effective_default, f, indent=2)
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return effective_default
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with open(absolute_filepath, 'r') as f:
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return json.load(f)
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except (IOError, json.JSONDecodeError) as e:
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print(f"Error loading {absolute_filepath}: {e}")
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if default_data is not None: return default_data
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if absolute_filepath.endswith("profiles.json"): return {}
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if absolute_filepath.endswith("messages.json"): return []
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return {}
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def save_json_data(filepath, data):
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"""Saves Python data to a JSON file."""
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base_dir = os.path.dirname(os.path.abspath(__file__))
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absolute_filepath = os.path.join(base_dir, filepath) if not os.path.isabs(filepath) else filepath
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try:
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os.makedirs(os.path.dirname(absolute_filepath), exist_ok=True)
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with open(absolute_filepath, 'w') as f:
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json.dump(data, f, indent=2)
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return True
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except IOError as e:
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print(f"Error saving {absolute_filepath}: {e}")
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return False
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# --- End of JSON I/O Helper Functions ---
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# --- Start of MCP Matchmaker Tools ---
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def profile_questionnaire_func(request: gr.Request):
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"""
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Generates and returns a profile questionnaire, a new public profile_id,
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and a new private auth_id. Also creates an initial profile stub.
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"""
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# 1. Generate profile_id and auth_id
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profile_id = f"user_{''.join(random.choices('abcdefghijklmnopqrstuvwxyz0123456789', k=8))}"
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auth_id = str(uuid.uuid4())
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# 2. Read questionnaire.json
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questionnaire_data = load_json_data(QUESTIONNAIRE_FILE, default_data={"title": "Error Loading Questionnaire", "questions": []})
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if not questionnaire_data.get("questions") or questionnaire_data.get("title") == "Error Loading Questionnaire":
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print(f"Critical Error: Could not load or parse questionnaire from {QUESTIONNAIRE_FILE}. Please ensure it exists and is valid JSON.")
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questionnaire_data = {"title": "Questionnaire Unavailable", "questions": []} # Fallback
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# 3. Create new profile entry in profiles.json
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profiles = load_json_data(PROFILES_FILE, default_data={})
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timestamp = datetime.utcnow().isoformat() + "Z" # ISO 8601 format
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profiles[profile_id] = {
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"profile_id": profile_id,
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"auth_id": auth_id,
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"created_at": timestamp,
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"updated_at": timestamp,
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"name": "",
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"profile_image_filename": None,
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"profile_summary": "",
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"answers": {}
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}
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if not save_json_data(PROFILES_FILE, profiles):
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print(f"Critical Error: Failed to save profile for {profile_id} to {PROFILES_FILE}")
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# Decide how to handle this error - maybe return an error to the client?
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# 4. Return IDs, questionnaire data, and instructions
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instructions_for_agent = "You have received a `profile_id` (public identifier for this user\'s profile) and an `auth_id` (private key for authentication for this user). Store both securely. The `auth_id` must be sent as an `X-Auth-ID` header in subsequent requests that require authentication for this user (e.g., `update_profile_answers`, `get_matches`, `get_messages`, `get_profile` for own profile, `send_message`). The `profile_id` is used to publicly identify this user to others (e.g., in matches, or when sending/receiving messages)."
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instructions_for_user = "Your profile creation process has started! You\'ve been assigned a unique Profile ID and a secret Auth ID. Your AI agent will use these to manage your profile and interactions."
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return {
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"profile_id": profile_id,
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"auth_id": auth_id,
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"questionnaire": questionnaire_data,
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"instructions_for_agent": instructions_for_agent,
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"instructions_for_user": instructions_for_user
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}
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# --- End of MCP Matchmaker Tools ---
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# Original example functions from the user's app.py for context
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def print_headers(text, request: gr.Request):
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"""
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Print the headers of the request for debugging purposes.
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Args:
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text (str): The text to print
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request (gr.Request): The request object
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Returns:
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str: The text to print
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"""
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print(f"Headers for print_headers request: {request.headers}")
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print(f"Text for print_headers: {text}")
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return text
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# Gradio interface for printing headers
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headers_demo = gr.Interface(
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fn=print_headers,
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inputs=gr.Textbox(label="Input Text"),
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outputs=gr.Textbox(label="Output Text (same as input)"),
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title="Headers Debug",
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description="Prints request headers to the console. Check your terminal."
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)
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# --- Start of New Profile Questionnaire Interface ---
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profile_questionnaire_demo = gr.Interface(
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fn=profile_questionnaire_func,
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inputs=None, # No direct input from user for this one, it's triggered by the agent
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outputs=gr.JSON(label="Questionnaire, IDs, and Instructions"),
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title="MCP - Profile Questionnaire",
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description="Generates a new user profile questionnaire, Profile ID, and Auth ID. (Agent-triggered MCP tool)"
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)
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# --- End of New Profile Questionnaire Interface ---
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# Adjusted TabbedInterface to include the new tool
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demo = gr.TabbedInterface(
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[profile_questionnaire_demo, headers_demo],
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["MCP - Profile Questionnaire", "Headers Debug"]
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)
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if __name__ == "__main__":
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demo.launch(mcp_server=True)
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data/messages.json
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[]
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data/profiles.json
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{
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"user_6ngnjagx": {
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"profile_id": "user_6ngnjagx",
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"auth_id": "1edfeebd-e9f8-416e-afc4-4c1698932ac0",
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"created_at": "2025-06-05T16:26:32.384174Z",
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"updated_at": "2025-06-05T16:26:32.384174Z",
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"name": "",
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"profile_image_filename": null,
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"profile_summary": "",
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"answers": {}
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}
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}
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data/questionnaire.json
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{
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"title": "MCP Matchmaker Profile Questionnaire",
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"questions": [
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{ "id": "q_name", "text": "What is your name?", "type": "text", "purpose": "metadata", "maps_to_field": "name" },
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{ "id": "q_profile_image_filename", "text": "Enter the filename for your profile picture (e.g., my_image.jpg):", "type": "text", "purpose": "metadata", "maps_to_field": "profile_image_filename" },
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{ "id": "q_profile_summary", "text": "Write a brief introduction for your profile (1-2 sentences):", "type": "text", "purpose": "metadata", "maps_to_field": "profile_summary" },
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{ "id": "q_hobby", "text": "What are your main hobbies or interests?", "type": "text", "purpose": "matchmaking" },
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{ "id": "q_looking_for", "text": "What are you looking for in a match?", "type": "long_text", "purpose": "matchmaking" },
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{ "id": "q_vibe", "text": "Describe your general vibe (e.g., adventurous, homebody, intellectual)?", "type": "text", "purpose": "matchmaking" }
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]
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}
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requirements.txt
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gradio[mcp]
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utils/__init__.py
ADDED
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File without changes
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utils/storage.py
ADDED
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