https://github.com/pyunits/pyunit-uploadfile

结构化文件解析数据
https://github.com/pyunits/pyunit-uploadfile

Last synced: over 1 year ago
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结构化文件解析数据

• Host: GitHub
• URL: https://github.com/pyunits/pyunit-uploadfile
• Owner: pyunits
• Created: 2024-04-12T07:25:15.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2024-04-12T08:22:21.000Z (about 2 years ago)
• Last Synced: 2025-01-11T15:18:40.593Z (over 1 year ago)
• Language: Python
• Size: 35.2 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# pyunit-uploadFile

上传文件解析文件到Redis中

# 启动

    git clone https://github.com/pyunits/pyunit-uploadfile

    

    cd pyunit-uploadfile

    docker build -t uploadfile .

    docker run -d --restart=always -e REDIS_IP=xx -e REDIS_PASSWORD=xx -e REDIS_DB=xx -p xx:8000 --name=uploadfile uploadfile

# 在线文档

    http://127.0.0.1:8000/docs

# 上传文件

## 入参

![img.png](img.png)

## 返回参数

```json

[

  {

    "name": "scopus.xlsx",

    "md5": "e683876242cf51f2a2187ee15fa353e8",

    "type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"

  }

]

```

# 解析文件

## 入参

![img_1.png](img_1.png)

## 出参

```json

[

  "e683876242cf51f2a2187ee15fa353e8:00103200",

  "e683876242cf51f2a2187ee15fa353e8:00103300",

  "e683876242cf51f2a2187ee15fa353e8:00103400",

  "e683876242cf51f2a2187ee15fa353e8:00103500",

  "e683876242cf51f2a2187ee15fa353e8:00103600",

  "e683876242cf51f2a2187ee15fa353e8:00103700",

  "e683876242cf51f2a2187ee15fa353e8:00103800",

  "e683876242cf51f2a2187ee15fa353e8:00103900",

  "e683876242cf51f2a2187ee15fa353e8:00104000",

  "e683876242cf51f2a2187ee15fa353e8:00104100",

  "e683876242cf51f2a2187ee15fa353e8:00104200",

  "e683876242cf51f2a2187ee15fa353e8:00104300",

  "e683876242cf51f2a2187ee15fa353e8:00104400",

  "e683876242cf51f2a2187ee15fa353e8:00104500",

  "e683876242cf51f2a2187ee15fa353e8:00104600"

]

```

    其中 返回的 字符串都是 Redis里的key

    每一个key代表100行数据

# 根据Key获取数据

```python

import redis

import json

import gzip

pool = redis.ConnectionPool(host='xxx', decode_responses=False, password="xxx")

r = redis.Redis(connection_pool=pool)

data = r["e683876242cf51f2a2187ee15fa353e8:00103200"]

data = gzip.decompress(data)

data = json.loads(data)

print(data)

```