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5 Commits

Author SHA1 Message Date
Linlang
5f9219acf2 add comments 2024-05-23 20:47:32 +08:00
Linlang
d0b84d5696 fix pylint error 2024-05-23 16:21:54 +08:00
Linlang
fb54d08236 optimize get_data code 2024-05-23 16:01:57 +08:00
Linlang
9bb4259080 fix get v0 data error 2024-05-23 07:19:04 +08:00
Linlang
117f67d6e1 fix get data error 2024-05-23 06:57:59 +08:00
8 changed files with 17 additions and 49 deletions

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@@ -45,9 +45,6 @@ jobs:
- name: Qlib installation test
run: |
# 2024-05-30 scs has released a new version: 3.2.4.post2,
# This will cause the CI to fail, so we have limited the version of scs for now.
python -m pip install "scs<=3.2.4"
python -m pip install pyqlib
- name: Install Lightgbm for MacOS

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@@ -40,7 +40,7 @@ Recent released features
Features released before 2021 are not listed here.
<p align="center">
<img src="docs/_static/img/logo/1.png" />
<img src="http://fintech.msra.cn/images_v070/logo/1.png" />
</p>
Qlib is an open-source, AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning.
@@ -166,7 +166,7 @@ Also, users can install the latest dev version ``Qlib`` by the source code accor
* Clone the repository and install ``Qlib`` as follows.
```bash
git clone https://github.com/microsoft/qlib.git && cd qlib
pip install . # `pip install -e .[dev]` is recommended for development. check details in docs/developer/code_standard_and_dev_guide.rst
pip install .
```
**Note**: You can install Qlib with `python setup.py install` as well. But it is not the recommended approach. It will skip `pip` and cause obscure problems. For example, **only** the command ``pip install .`` **can** overwrite the stable version installed by ``pip install pyqlib``, while the command ``python setup.py install`` **can't**.

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@@ -2,7 +2,7 @@
# Licensed under the MIT License.
from pathlib import Path
__version__ = "0.9.5.99"
__version__ = "0.9.4.99"
__version__bak = __version__ # This version is backup for QlibConfig.reset_qlib_version
import os
from typing import Union

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@@ -35,7 +35,7 @@ class Client:
def connect_server(self):
"""Connect to server."""
try:
self.sio.connect(f"ws://{self.server_host}:{self.server_port}")
self.sio.connect("ws://" + self.server_host + ":" + str(self.server_port))
except socketio.exceptions.ConnectionError:
self.logger.error("Cannot connect to server - check your network or server status")

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@@ -9,7 +9,7 @@ if TYPE_CHECKING:
from qlib.data.dataset import DataHandler
def get_level_index(df: pd.DataFrame, level: Union[str, int]) -> int:
def get_level_index(df: pd.DataFrame, level=Union[str, int]) -> int:
"""
get the level index of `df` given `level`

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@@ -301,7 +301,6 @@ class Normalize:
na_values={col: symbol_na if col == self._symbol_field_name else default_na for col in columns},
)
# NOTE: It has been reported that there may be some problems here, and the specific issues will be dealt with when they are identified.
df = self._normalize_obj.normalize(df)
if df is not None and not df.empty:
if self._end_date is not None:

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@@ -15,6 +15,7 @@ from typing import Iterable, Tuple, List
import numpy as np
import pandas as pd
from lxml import etree
from loguru import logger
from yahooquery import Ticker
from tqdm import tqdm
@@ -189,43 +190,17 @@ def get_hs_stock_symbols() -> list:
global _HS_SYMBOLS # pylint: disable=W0603
def _get_symbol():
"""
Get the stock pool from a web page and process it into the format required by yahooquery.
Format of data retrieved from the web page: 600519, 000001
The data format required by yahooquery: 600519.ss, 000001.sz
Returns
-------
set: Returns the set of symbol codes.
Examples:
-------
{600000.ss, 600001.ss, 600002.ss, 600003.ss, ...}
"""
url = "http://99.push2.eastmoney.com/api/qt/clist/get?pn=1&pz=10000&po=1&np=1&fs=m:0+t:6,m:0+t:80,m:1+t:2,m:1+t:23,m:0+t:81+s:2048&fields=f12"
try:
resp = requests.get(url, timeout=None)
resp.raise_for_status()
except requests.exceptions.HTTPError as e:
raise requests.exceptions.HTTPError(f"Request to {url} failed with status code {resp.status_code}") from e
try:
_symbols = [_v["f12"] for _v in resp.json()["data"]["diff"]]
except Exception as e:
logger.warning("An error occurred while extracting data from the response.")
raise
if len(_symbols) < 3900:
raise ValueError("The complete list of stocks is not available.")
# Add suffix after the stock code to conform to yahooquery standard, otherwise the data will not be fetched.
_symbols = [
_symbol + ".ss" if _symbol.startswith("6") else _symbol + ".sz" if _symbol.startswith(("0", "3")) else None
for _symbol in _symbols
]
_symbols = [_symbol for _symbol in _symbols if _symbol is not None]
return set(_symbols)
_res = set()
for _k, _v in (("ha", "ss"), ("sa", "sz"), ("gem", "sz")):
resp = requests.get(HS_SYMBOLS_URL.format(s_type=_k), timeout=None)
_res |= set(
map(
lambda x: "{}.{}".format(re.findall(r"\d+", x)[0], _v), # pylint: disable=W0640
etree.HTML(resp.text).xpath("//div[@class='result']/ul//li/a/text()"), # pylint: disable=I1101
)
)
time.sleep(3)
return _res
if _HS_SYMBOLS is None:
symbols = set()

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@@ -166,9 +166,6 @@ setup(
"lxml",
"baostock",
"yahooquery",
# 2024-05-30 scs has released a new version: 3.2.4.post2,
# this version, causes qlib installation to fail, so we've limited the scs version a bit for now.
"scs<=3.2.4",
"beautifulsoup4",
# In version 0.4.11 of tianshou, the code:
# logits, hidden = self.actor(batch.obs, state=state, info=batch.info)