mirror of
https://github.com/khoj-ai/khoj.git
synced 2024-11-27 17:35:07 +01:00
Version Khoj API, Update frontends, tests and docs to reflect it
- Split router.py into v1.0, beta and frontend (no-prefix) api modules under new router package. Version tag in main.py via prefix - Update frontends to use the versioned api endpoints - Update tests to work with versioned api endpoints - Update docs to mentioned, reference only versioned api endpoints
This commit is contained in:
Debanjum Singh Solanky
parent
ee65a4f2c7
commit
e42a38e825
11 changed files with 154 additions and 124 deletions
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@ -85,7 +85,7 @@ khoj
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### 3. Configure
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1. Enable content types and point to files to search in the First Run Screen that pops up on app start
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2. Click configure and wait. The app will load ML model, generates embeddings and expose the search API
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2. Click `Configure` and wait. The app will download ML models and index the content for search
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## Use
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@ -113,7 +113,7 @@ pip install --upgrade khoj-assistant
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## Miscellaneous
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- The beta [chat](http://localhost:8000/beta/chat) and [search](http://localhost:8000/beta/search) API endpoints use [OpenAI API](https://openai.com/api/)
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- The beta [chat](http://localhost:8000/api/beta/chat) and [search](http://localhost:8000/api/beta/search) API endpoints use [OpenAI API](https://openai.com/api/)
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- It is disabled by default
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- To use it add your `openai-api-key` via the app configure screen
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- Warning: *If you use the above beta APIs, your query and top result(s) will be sent to OpenAI for processing*
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@ -226,7 +226,7 @@ Use `which-key` if available, else display simple message in echo area"
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(defun khoj--get-enabled-content-types ()
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"Get content types enabled for search from API."
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(let ((config-url (format "%s/config/data" khoj-server-url)))
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(let ((config-url (format "%s/api/v1.0/config/data" khoj-server-url)))
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(with-temp-buffer
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(erase-buffer)
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(url-insert-file-contents config-url)
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@ -243,7 +243,7 @@ Use `which-key` if available, else display simple message in echo area"
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"Construct API Query from QUERY, SEARCH-TYPE and (optional) RERANK params."
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(let ((rerank (or rerank "false"))
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(encoded-query (url-hexify-string query)))
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(format "%s/search?q=%s&t=%s&r=%s&n=%s" khoj-server-url encoded-query search-type rerank khoj-results-count)))
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(format "%s/api/v1.0/search?q=%s&t=%s&r=%s&n=%s" khoj-server-url encoded-query search-type rerank khoj-results-count)))
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(defun khoj--query-api-and-render-results (query search-type query-url buffer-name)
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"Query Khoj API using QUERY, SEARCH-TYPE, QUERY-URL.
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@ -10,7 +10,7 @@ var emptyValueDefault = "🖊️";
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/**
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* Fetch the existing config file.
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*/
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fetch("/config/data")
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fetch("/api/v1.0/config/data")
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.then(response => response.json())
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.then(data => {
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rawConfig = data;
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@ -26,7 +26,7 @@ fetch("/config/data")
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configForm.addEventListener("submit", (event) => {
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event.preventDefault();
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console.log(rawConfig);
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fetch("/config/data", {
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fetch("/api/v1.0/config/data", {
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method: "POST",
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credentials: "same-origin",
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headers: {
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@ -46,7 +46,7 @@ regenerateButton.addEventListener("click", (event) => {
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event.preventDefault();
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regenerateButton.style.cursor = "progress";
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regenerateButton.disabled = true;
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fetch("/regenerate")
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fetch("/api/v1.0/update?force=true")
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.then(response => response.json())
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.then(data => {
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regenerateButton.style.cursor = "pointer";
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@ -77,8 +77,8 @@
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// Generate Backend API URL to execute Search
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url = type === "image"
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? `/search?q=${encodeURIComponent(query)}&t=${type}&n=${results_count}`
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: `/search?q=${encodeURIComponent(query)}&t=${type}&n=${results_count}&r=${rerank}`;
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? `/api/v1.0/search?q=${encodeURIComponent(query)}&t=${type}&n=${results_count}`
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: `/api/v1.0/search?q=${encodeURIComponent(query)}&t=${type}&n=${results_count}&r=${rerank}`;
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// Execute Search and Render Results
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fetch(url)
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@ -94,7 +94,7 @@
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function updateIndex() {
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type = document.getElementById("type").value;
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fetch(`/reload?t=${type}`)
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fetch(`/api/v1.0/update?t=${type}`)
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.then(response => response.json())
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.then(data => {
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console.log(data);
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@ -118,7 +118,7 @@
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function populate_type_dropdown() {
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// Populate type dropdown field with enabled search types only
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var possible_search_types = ["org", "markdown", "ledger", "music", "image"];
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fetch("/config/data")
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fetch("/api/v1.0/config/data")
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.then(response => response.json())
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.then(data => {
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document.getElementById("type").innerHTML =
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@ -19,7 +19,9 @@ from PyQt6.QtCore import QThread, QTimer
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# Internal Packages
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from src.configure import configure_server
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from src.router import router
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from src.routers.api_v1_0 import api_v1_0
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from src.routers.api_beta import api_beta
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from src.routers.frontend import frontend_router
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from src.utils import constants, state
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from src.utils.cli import cli
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from src.interface.desktop.main_window import MainWindow
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@ -29,7 +31,9 @@ from src.interface.desktop.system_tray import create_system_tray
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# Initialize the Application Server
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app = FastAPI()
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app.mount("/static", StaticFiles(directory=constants.web_directory), name="static")
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app.include_router(router)
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app.include_router(api_v1_0, prefix="/api/v1.0")
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app.include_router(api_beta, prefix="/api/beta")
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app.include_router(frontend_router)
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logger = logging.getLogger('src')
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89
src/routers/api_beta.py
Normal file
89
src/routers/api_beta.py
Normal file
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@ -0,0 +1,89 @@
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# Standard Packages
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import json
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import logging
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from typing import Optional
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# External Packages
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from fastapi import APIRouter
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# Internal Packages
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from src.routers.api_v1_0 import search
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from src.processor.conversation.gpt import converse, extract_search_type, message_to_log, message_to_prompt, understand, summarize
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from src.utils.config import SearchType
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from src.utils.helpers import get_absolute_path, get_from_dict
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from src.utils import state
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api_beta = APIRouter()
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logger = logging.getLogger(__name__)
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@api_beta.get('/search')
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def search_beta(q: str, n: Optional[int] = 1):
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# Extract Search Type using GPT
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metadata = extract_search_type(q, api_key=state.processor_config.conversation.openai_api_key, verbose=state.verbose)
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search_type = get_from_dict(metadata, "search-type")
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# Search
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search_results = search(q, n=n, t=SearchType(search_type))
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# Return response
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return {'status': 'ok', 'result': search_results, 'type': search_type}
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@api_beta.get('/chat')
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def chat(q: str):
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# Load Conversation History
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chat_session = state.processor_config.conversation.chat_session
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meta_log = state.processor_config.conversation.meta_log
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# Converse with OpenAI GPT
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metadata = understand(q, api_key=state.processor_config.conversation.openai_api_key, verbose=state.verbose)
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if state.verbose > 1:
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print(f'Understood: {get_from_dict(metadata, "intent")}')
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if get_from_dict(metadata, "intent", "memory-type") == "notes":
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query = get_from_dict(metadata, "intent", "query")
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result_list = search(query, n=1, t=SearchType.Org)
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collated_result = "\n".join([item["entry"] for item in result_list])
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if state.verbose > 1:
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print(f'Semantically Similar Notes:\n{collated_result}')
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gpt_response = summarize(collated_result, summary_type="notes", user_query=q, api_key=state.processor_config.conversation.openai_api_key)
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else:
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gpt_response = converse(q, chat_session, api_key=state.processor_config.conversation.openai_api_key)
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# Update Conversation History
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state.processor_config.conversation.chat_session = message_to_prompt(q, chat_session, gpt_message=gpt_response)
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state.processor_config.conversation.meta_log['chat'] = message_to_log(q, metadata, gpt_response, meta_log.get('chat', []))
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return {'status': 'ok', 'response': gpt_response}
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@api_beta.on_event('shutdown')
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def shutdown_event():
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# No need to create empty log file
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if not (state.processor_config and state.processor_config.conversation and state.processor_config.conversation.meta_log):
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return
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elif state.processor_config.conversation.verbose:
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print('INFO:\tSaving conversation logs to disk...')
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# Summarize Conversation Logs for this Session
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chat_session = state.processor_config.conversation.chat_session
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openai_api_key = state.processor_config.conversation.openai_api_key
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conversation_log = state.processor_config.conversation.meta_log
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session = {
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"summary": summarize(chat_session, summary_type="chat", api_key=openai_api_key),
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"session-start": conversation_log.get("session", [{"session-end": 0}])[-1]["session-end"],
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"session-end": len(conversation_log["chat"])
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}
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if 'session' in conversation_log:
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conversation_log['session'].append(session)
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else:
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conversation_log['session'] = [session]
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# Save Conversation Metadata Logs to Disk
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conversation_logfile = get_absolute_path(state.processor_config.conversation.conversation_logfile)
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with open(conversation_logfile, "w+", encoding='utf-8') as logfile:
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json.dump(conversation_log, logfile)
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print('INFO:\tConversation logs saved to disk.')
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@ -1,45 +1,29 @@
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# Standard Packages
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import yaml
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import json
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import time
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import logging
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from typing import Optional
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# External Packages
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from fastapi import APIRouter
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from fastapi import Request
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from fastapi.responses import HTMLResponse, FileResponse
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from fastapi.templating import Jinja2Templates
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# Internal Packages
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from src.configure import configure_search
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from src.search_type import image_search, text_search
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from src.processor.conversation.gpt import converse, extract_search_type, message_to_log, message_to_prompt, understand, summarize
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from src.utils.rawconfig import FullConfig
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from src.utils.config import SearchType
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from src.utils.helpers import LRU, get_absolute_path, get_from_dict
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from src.utils import state, constants
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router = APIRouter()
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templates = Jinja2Templates(directory=constants.web_directory)
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api_v1_0 = APIRouter()
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logger = logging.getLogger(__name__)
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query_cache = LRU()
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@router.get("/", response_class=FileResponse)
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def index():
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return FileResponse(constants.web_directory / "index.html")
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@router.get('/config', response_class=HTMLResponse)
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def config_page(request: Request):
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return templates.TemplateResponse("config.html", context={'request': request})
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@router.get('/config/data', response_model=FullConfig)
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@api_v1_0.get('/config/data', response_model=FullConfig)
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def config_data():
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return state.config
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@router.post('/config/data')
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@api_v1_0.post('/config/data')
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async def config_data(updated_config: FullConfig):
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state.config = updated_config
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with open(state.config_file, 'w') as outfile:
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@ -47,7 +31,7 @@ async def config_data(updated_config: FullConfig):
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outfile.close()
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return state.config
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@router.get('/search')
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@api_v1_0.get('/search')
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def search(q: str, n: Optional[int] = 5, t: Optional[SearchType] = None, r: Optional[bool] = False):
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if q is None or q == '':
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logger.info(f'No query param (q) passed in API call to initiate search')
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@ -137,78 +121,7 @@ def search(q: str, n: Optional[int] = 5, t: Optional[SearchType] = None, r: Opti
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return results
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@router.get('/update')
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@api_v1_0.get('/update')
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def update(t: Optional[SearchType] = None, force: Optional[bool] = False):
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state.model = configure_search(state.model, state.config, regenerate=force, t=t)
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return {'status': 'ok', 'message': 'index updated completed'}
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@router.get('/beta/search')
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def search_beta(q: str, n: Optional[int] = 1):
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# Extract Search Type using GPT
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metadata = extract_search_type(q, api_key=state.processor_config.conversation.openai_api_key, verbose=state.verbose)
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search_type = get_from_dict(metadata, "search-type")
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# Search
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search_results = search(q, n=n, t=SearchType(search_type))
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# Return response
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return {'status': 'ok', 'result': search_results, 'type': search_type}
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@router.get('/beta/chat')
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def chat(q: str):
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# Load Conversation History
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chat_session = state.processor_config.conversation.chat_session
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meta_log = state.processor_config.conversation.meta_log
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# Converse with OpenAI GPT
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metadata = understand(q, api_key=state.processor_config.conversation.openai_api_key, verbose=state.verbose)
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if state.verbose > 1:
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print(f'Understood: {get_from_dict(metadata, "intent")}')
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if get_from_dict(metadata, "intent", "memory-type") == "notes":
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query = get_from_dict(metadata, "intent", "query")
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result_list = search(query, n=1, t=SearchType.Org)
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collated_result = "\n".join([item["entry"] for item in result_list])
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if state.verbose > 1:
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print(f'Semantically Similar Notes:\n{collated_result}')
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gpt_response = summarize(collated_result, summary_type="notes", user_query=q, api_key=state.processor_config.conversation.openai_api_key)
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else:
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gpt_response = converse(q, chat_session, api_key=state.processor_config.conversation.openai_api_key)
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# Update Conversation History
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state.processor_config.conversation.chat_session = message_to_prompt(q, chat_session, gpt_message=gpt_response)
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state.processor_config.conversation.meta_log['chat'] = message_to_log(q, metadata, gpt_response, meta_log.get('chat', []))
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return {'status': 'ok', 'response': gpt_response}
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@router.on_event('shutdown')
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def shutdown_event():
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# No need to create empty log file
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if not (state.processor_config and state.processor_config.conversation and state.processor_config.conversation.meta_log):
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return
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elif state.processor_config.conversation.verbose:
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print('INFO:\tSaving conversation logs to disk...')
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# Summarize Conversation Logs for this Session
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chat_session = state.processor_config.conversation.chat_session
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openai_api_key = state.processor_config.conversation.openai_api_key
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conversation_log = state.processor_config.conversation.meta_log
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session = {
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"summary": summarize(chat_session, summary_type="chat", api_key=openai_api_key),
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"session-start": conversation_log.get("session", [{"session-end": 0}])[-1]["session-end"],
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"session-end": len(conversation_log["chat"])
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}
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if 'session' in conversation_log:
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conversation_log['session'].append(session)
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else:
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conversation_log['session'] = [session]
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# Save Conversation Metadata Logs to Disk
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conversation_logfile = get_absolute_path(state.processor_config.conversation.conversation_logfile)
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with open(conversation_logfile, "w+", encoding='utf-8') as logfile:
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json.dump(conversation_log, logfile)
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print('INFO:\tConversation logs saved to disk.')
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return {'status': 'ok', 'message': 'index updated'}
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25
src/routers/frontend.py
Normal file
25
src/routers/frontend.py
Normal file
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@ -0,0 +1,25 @@
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# Standard Packages
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import logging
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# External Packages
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from fastapi import APIRouter
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from fastapi import Request
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from fastapi.responses import HTMLResponse, FileResponse
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from fastapi.templating import Jinja2Templates
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# Internal Packages
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from src.utils import constants
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frontend_router = APIRouter()
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templates = Jinja2Templates(directory=constants.web_directory)
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logger = logging.getLogger(__name__)
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@frontend_router.get("/", response_class=FileResponse)
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def index():
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return FileResponse(constants.web_directory / "index.html")
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@frontend_router.get('/config', response_class=HTMLResponse)
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def config_page(request: Request):
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return templates.TemplateResponse("config.html", context={'request': request})
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@ -43,9 +43,8 @@ just generating embeddings*
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- **Khoj via API**
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- See [Khoj API Docs](http://localhost:8000/docs)
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- [Query](http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22)
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- [Regenerate
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Embeddings](http://localhost:8000/regenerate?t=ledger)
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- [Query](http://localhost:8000/api/v1.0/search?q=%22what%20is%20the%20meaning%20of%20life%22)
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- [Update Index](http://localhost:8000/api/v1.0/update?t=ledger)
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- [Configure Application](https://localhost:8000/ui)
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- **Khoj via Emacs**
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- [Install](https://github.com/debanjum/khoj/tree/master/src/interface/emacs#installation)
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@ -27,8 +27,8 @@
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- Run ~M-x khoj <user-query>~ or Call ~C-c C-s~
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- *Khoj via API*
|
||||
- Query: ~GET~ [[http://localhost:8000/search?q=%22what%20is%20the%20meaning%20of%20life%22][http://localhost:8000/search?q="What is the meaning of life"]]
|
||||
- Regenerate Embeddings: ~GET~ [[http://localhost:8000/regenerate][http://localhost:8000/regenerate]]
|
||||
- Query: ~GET~ [[http://localhost:8000/api/v1.0/search?q=%22what%20is%20the%20meaning%20of%20life%22][http://localhost:8000/api/v1.0/search?q="What is the meaning of life"]]
|
||||
- Update Index: ~GET~ [[http://localhost:8000/api/v1.0/update][http://localhost:8000/api/v1.0/update]]
|
||||
- [[http://localhost:8000/docs][Khoj API Docs]]
|
||||
|
||||
- *Call Khoj via Python Script Directly*
|
||||
|
|
|
|||
|
|
@ -28,7 +28,7 @@ def test_search_with_invalid_content_type():
|
|||
user_query = quote("How to call Khoj from Emacs?")
|
||||
|
||||
# Act
|
||||
response = client.get(f"/search?q={user_query}&t=invalid_content_type")
|
||||
response = client.get(f"/api/v1.0/search?q={user_query}&t=invalid_content_type")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 422
|
||||
|
|
@ -43,29 +43,29 @@ def test_search_with_valid_content_type(content_config: ContentConfig, search_co
|
|||
# config.content_type.image = search_config.image
|
||||
for content_type in ["org", "markdown", "ledger", "music"]:
|
||||
# Act
|
||||
response = client.get(f"/search?q=random&t={content_type}")
|
||||
response = client.get(f"/api/v1.0/search?q=random&t={content_type}")
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
||||
|
||||
# ----------------------------------------------------------------------------------------------------
|
||||
def test_reload_with_invalid_content_type():
|
||||
def test_update_with_invalid_content_type():
|
||||
# Act
|
||||
response = client.get(f"/reload?t=invalid_content_type")
|
||||
response = client.get(f"/api/v1.0/update?t=invalid_content_type")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 422
|
||||
|
||||
|
||||
# ----------------------------------------------------------------------------------------------------
|
||||
def test_reload_with_valid_content_type(content_config: ContentConfig, search_config: SearchConfig):
|
||||
def test_update_with_valid_content_type(content_config: ContentConfig, search_config: SearchConfig):
|
||||
# Arrange
|
||||
config.content_type = content_config
|
||||
config.search_type = search_config
|
||||
|
||||
for content_type in ["org", "markdown", "ledger", "music"]:
|
||||
# Act
|
||||
response = client.get(f"/reload?t={content_type}")
|
||||
response = client.get(f"/api/v1.0/update?t={content_type}")
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
||||
|
|
@ -73,7 +73,7 @@ def test_reload_with_valid_content_type(content_config: ContentConfig, search_co
|
|||
# ----------------------------------------------------------------------------------------------------
|
||||
def test_regenerate_with_invalid_content_type():
|
||||
# Act
|
||||
response = client.get(f"/regenerate?t=invalid_content_type")
|
||||
response = client.get(f"/api/v1.0/update?force=true&t=invalid_content_type")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 422
|
||||
|
|
@ -87,7 +87,7 @@ def test_regenerate_with_valid_content_type(content_config: ContentConfig, searc
|
|||
|
||||
for content_type in ["org", "markdown", "ledger", "music", "image"]:
|
||||
# Act
|
||||
response = client.get(f"/regenerate?t={content_type}")
|
||||
response = client.get(f"/api/v1.0/update?force=true&t={content_type}")
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
||||
|
|
@ -104,7 +104,7 @@ def test_image_search(content_config: ContentConfig, search_config: SearchConfig
|
|||
|
||||
for query, expected_image_name in query_expected_image_pairs:
|
||||
# Act
|
||||
response = client.get(f"/search?q={query}&n=1&t=image")
|
||||
response = client.get(f"/api/v1.0/search?q={query}&n=1&t=image")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
|
@ -122,7 +122,7 @@ def test_notes_search(content_config: ContentConfig, search_config: SearchConfig
|
|||
user_query = quote("How to git install application?")
|
||||
|
||||
# Act
|
||||
response = client.get(f"/search?q={user_query}&n=1&t=org&r=true")
|
||||
response = client.get(f"/api/v1.0/search?q={user_query}&n=1&t=org&r=true")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
|
@ -139,7 +139,7 @@ def test_notes_search_with_only_filters(content_config: ContentConfig, search_co
|
|||
user_query = quote('+"Emacs" file:"*.org"')
|
||||
|
||||
# Act
|
||||
response = client.get(f"/search?q={user_query}&n=1&t=org")
|
||||
response = client.get(f"/api/v1.0/search?q={user_query}&n=1&t=org")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
|
@ -156,7 +156,7 @@ def test_notes_search_with_include_filter(content_config: ContentConfig, search_
|
|||
user_query = quote('How to git install application? +"Emacs"')
|
||||
|
||||
# Act
|
||||
response = client.get(f"/search?q={user_query}&n=1&t=org")
|
||||
response = client.get(f"/api/v1.0/search?q={user_query}&n=1&t=org")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
|
@ -173,7 +173,7 @@ def test_notes_search_with_exclude_filter(content_config: ContentConfig, search_
|
|||
user_query = quote('How to git install application? -"clone"')
|
||||
|
||||
# Act
|
||||
response = client.get(f"/search?q={user_query}&n=1&t=org")
|
||||
response = client.get(f"/api/v1.0/search?q={user_query}&n=1&t=org")
|
||||
|
||||
# Assert
|
||||
assert response.status_code == 200
|
||||
|
|
|
|||
Loading…
Reference in a new issue