mirror of
https://github.com/OpenBB-finance/OpenBB.git
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b71abcfbf4
* quick econ fix * black * keys and feature flags * terminal name 👀 * some more replacements * some more replacements * edit pyproject * gst -> openbb * add example portfolios back to git * Update api from gst * sorry. skipping some tests * another round of names * another round of test edits * Missed some .gst refs and update timezone * water mark stuff * Fixing Names in terminal.spec and name of GTFF_DEFAULTS to OBBFF_DEFAULTS * fix more GST to OpenBB Terminal * Logging : merge conflicts with main * Revert wrong files Co-authored-by: Andrew <andrew.kenreich@gmail.com> Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt> Co-authored-by: Chavithra PARANA <chavithra@gmail.com>
53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
"""Finnhub model"""
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__docformat__ = "numpy"
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import logging
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import pandas as pd
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import requests
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from openbb_terminal import config_terminal as cfg
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.rich_config import console
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def get_pattern_recognition(ticker: str, resolution: str) -> pd.DataFrame:
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"""Get pattern recognition data
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Parameters
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----------
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ticker : str
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Ticker to get pattern recognition data
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resolution : str
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Resolution of data to get pattern recognition from
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Returns
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-------
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pd.DataFrame
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Get datapoints corresponding to pattern signal data
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"""
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response = requests.get(
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f"https://finnhub.io/api/v1/scan/pattern?symbol={ticker}&resolution={resolution}&token={cfg.API_FINNHUB_KEY}"
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)
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df = pd.DataFrame()
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# pylint:disable=no-else-return
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if response.status_code == 200:
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d_data = response.json()
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if "points" in d_data:
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df = pd.DataFrame(d_data["points"]).T
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else:
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console.print("Response is empty")
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elif response.status_code == 401:
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console.print("[red]Invalid API Key[/red]\n")
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elif response.status_code == 403:
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console.print("[red]API Key not authorized for Premium Feature[/red]\n")
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else:
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console.print(f"Error in request: {response.json()['error']}", "\n")
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return df
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