MagicStack / MagicStack/asyncpg

In Record complex data coming as string

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#560 4 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
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Description

* **asyncpg version**: **0.20.1**
* **PostgreSQL version**: "version" (using select version()
**"PostgreSQL 12.2 on x86_64-pc-linux-gnu, compiled by gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39), 64-bit"**
* **Do you use a PostgreSQL SaaS? If so, which? Can you reproduce
the issue with a local PostgreSQL install?**: **Using installed version on a GCP server not Saas**
* **Python version**: **3.8.2**
* **Platform**: **CentOS8**
* **Do you use pgbouncer?**: No
* **Did you install asyncpg with pip?**: Yes
* **If you built asyncpg locally, which version of Cython did you use?**: NA
* **Can the issue be reproduced under both asyncio and
[uvloop](https://github.com/magicstack/uvloop)?**: Yes

**Following is my asyncpg code for fetching data:**

```
conn = await asyncpg.connect(
user,
password,
database,
host,
port,
)
records = await conn.fetch(query)
values = [dict(record) for record in records]
return values
```

`record` result that is received contains a complex object in the form of string as follows:

`'Affinity':'{"Quantity" : 0, "Revenue" : 0, "Margin" : 0, "Adjustable_Quantity" : 0, "Adjustable_Revenue" : 0, "Adjustable_Margin" : 0}'`

Due to which there's extra parsing required to convert data from `string to object`. Is it possible to not get the data as string by default, like other adapters `psycopg2` provide. Please recommend a workaround otherwise this needs lots of code addition to parse each and every object. I would ideally expect caller to directly consume json objects instead of parse and consume

Contributor guide

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Research direction

The issue provides no repository file or test; begin at the conn.fetch(query) call and the conversion through dict(record), using the shown JSON-like value as the reproduction case. Check how asyncpg returns this PostgreSQL value and determine the expected default result type. Done means the desired object behavior is specified and covered by a regression test.

Written by the indexing model from the issue text.

Assessment

Tech stack
postgresql, python
Domain
databases
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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