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8 | 8 | # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
9 | 9 |
|
10 | 10 | import yfinance as yf |
| 11 | +import requests |
11 | 12 | import logging |
12 | 13 | import sys |
13 | 14 | import asyncio |
|
20 | 21 | if not logging.getLogger().hasHandlers(): |
21 | 22 | logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') |
22 | 23 |
|
23 | | -# Search for stock symbol (Using yfinance for direct data fetching) |
24 | 24 | async def search_stock_symbol(keyword): |
25 | 25 | logging.info(f"Searching stock symbol for keyword: {keyword}") |
26 | | - # yfinance doesn't have a direct search function like some APIs. |
27 | | - # We often rely on Ticker() working or failing. |
28 | | - # For a more robust search, you might need another library or API, |
29 | | - # but Ticker() often works well with common names/symbols. |
| 26 | + |
| 27 | + # 1) First try using the exact Ticker approach: |
30 | 28 | try: |
31 | 29 | ticker = yf.Ticker(keyword) |
32 | | - # Attempt to access some data to validate the ticker |
33 | | - if not ticker.info: |
34 | | - # If .info is empty, try fetching history as another check |
35 | | - hist_check = ticker.history(period="1d") |
36 | | - if hist_check.empty: |
37 | | - logging.info(f"No valid data found for keyword: {keyword} using yf.Ticker.") |
38 | | - return "No matches found." |
39 | | - logging.debug(f"Ticker info potentially found for {keyword}: {ticker.info.get('symbol', 'N/A')}") |
40 | | - return ticker |
| 30 | + hist_check = ticker.history(period="1d") |
| 31 | + if not hist_check.empty: |
| 32 | + # We have data => success |
| 33 | + return ticker |
| 34 | + # If hist is empty, keep going |
41 | 35 | except Exception as e: |
42 | | - logging.error(f"Error attempting to validate ticker for keyword '{keyword}': {e}") |
43 | | - return "Error during symbol search." |
| 36 | + logging.error(f"Error attempting to validate ticker for '{keyword}': {e}") |
| 37 | + |
| 38 | + # 2) If the direct Ticker() attempt fails or is empty, fallback to a Yahoo search |
| 39 | + logging.info(f"No direct Ticker() data. Attempting fallback search for: {keyword}") |
| 40 | + symbols_found = yahoo_finance_search(keyword) # see function below |
| 41 | + |
| 42 | + if symbols_found: |
| 43 | + # If you want to automatically pick the best match (the first or so): |
| 44 | + best_candidate = symbols_found[0] # or rank them somehow |
| 45 | + logging.info(f"Found possible symbol: {best_candidate}. Verifying with yf.Ticker()") |
| 46 | + ticker = yf.Ticker(best_candidate) |
| 47 | + hist_check = ticker.history(period="1d") |
| 48 | + if not hist_check.empty: |
| 49 | + return ticker |
| 50 | + else: |
| 51 | + logging.info(f"Fallback candidate {best_candidate} has no history.") |
| 52 | + # 3) If we still don’t get a valid ticker, just bail out |
| 53 | + return "No matches found." |
| 54 | + |
| 55 | +def yahoo_finance_search(query): |
| 56 | + """ |
| 57 | + Use the (unofficial) Yahoo Finance search endpoint to find possible symbols. |
| 58 | + Returns a list of symbols (strings) if any are found, empty list if not. |
| 59 | + """ |
| 60 | + url = "https://query2.finance.yahoo.com/v1/finance/search" |
| 61 | + params = {"q": query, "quotesCount": 5} # maybe fetch top 5 |
| 62 | + resp = requests.get(url, params=params) |
| 63 | + if resp.status_code != 200: |
| 64 | + return [] |
| 65 | + data = resp.json() |
| 66 | + if "quotes" not in data: |
| 67 | + return [] |
| 68 | + |
| 69 | + symbols = [] |
| 70 | + for item in data["quotes"]: |
| 71 | + # each item might have "symbol", "longname", etc. |
| 72 | + sym = item.get("symbol") |
| 73 | + if sym: |
| 74 | + symbols.append(sym) |
| 75 | + return symbols |
| 76 | + |
| 77 | +# # Search for stock symbol (Using yfinance for direct data fetching) |
| 78 | +# async def search_stock_symbol(keyword): |
| 79 | +# logging.info(f"Searching stock symbol for keyword: {keyword}") |
| 80 | +# # yfinance doesn't have a direct search function like some APIs. |
| 81 | +# # We often rely on Ticker() working or failing. |
| 82 | +# # For a more robust search, you might need another library or API, |
| 83 | +# # but Ticker() often works well with common names/symbols. |
| 84 | +# try: |
| 85 | +# ticker = yf.Ticker(keyword) |
| 86 | +# # Attempt to access some data to validate the ticker |
| 87 | +# if not ticker.info: |
| 88 | +# # If .info is empty, try fetching history as another check |
| 89 | +# hist_check = ticker.history(period="1d") |
| 90 | +# if hist_check.empty: |
| 91 | +# logging.info(f"No valid data found for keyword: {keyword} using yf.Ticker.") |
| 92 | +# return "No matches found." |
| 93 | +# logging.debug(f"Ticker info potentially found for {keyword}: {ticker.info.get('symbol', 'N/A')}") |
| 94 | +# return ticker |
| 95 | +# except Exception as e: |
| 96 | +# logging.error(f"Error attempting to validate ticker for keyword '{keyword}': {e}") |
| 97 | +# return "Error during symbol search." |
44 | 98 |
|
45 | 99 | # format conversion (currently not in use) |
46 | 100 | def format_float(value): |
|
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