Mihir Kandoi 03183fc4d9 fix(stock): take disassembly source columns from one posted line (#57710)
* fix(stock): take disassembly source columns from one posted line

get_items_from_manufacture_stock_entry collapses a work order's Manufacture
entries to one row per item and wrapped fifteen Stock Entry Detail columns in
independent Max() to satisfy Postgres' strict GROUP BY. Those columns describe
a line, not an item, and three sets have to stay together:

  uom only means something beside its conversion_factor
  batch_no and serial_no only beside their warehouse
  is_finished_item decides whether the row is the output or an input

Aggregated separately they can be drawn from different lines. Two Manufacture
entries consuming the same item in Nos and in Box return ("Nos", 5) -- a pair
that was never posted, and one that does not describe the summed quantity.

Keep the sums (and the qty-weighted basic_rate) in the aggregate, and read the
descriptive columns off a single real line: the earliest by Stock Entry
creation then idx. That is what MariaDB returned in practice, it is
deterministic, and it is identical on both engines. Same representative-row
shape already used by BOM Stock Analysis and the sub-assembly queries.

* test(manufacturing): cover disassembly source-row coherence

Two Manufacture entries consume the same raw material in different UOMs, so
the max uom and the max conversion factor come from different lines. Asserts
the returned pair is one that was actually posted. Fails on the previous
per-column Max() with ('Nos', 5.0) not found in {('Nos', 1.0), ('Box', 5.0)}.

* fix(stock): aggregate disassembly quantities in stock UOM
2026-08-03 00:52:24 +05:30
2024-08-28 21:00:09 +02:00
2024-03-10 19:45:18 +05:30
2022-03-30 12:36:09 +05:30
2026-05-09 23:14:58 +05:30
2022-04-18 16:45:01 +05:30
2018-07-19 17:47:04 +05:30
2017-07-01 21:35:10 +05:30
2024-03-10 19:45:40 +05:30
2026-05-09 23:14:58 +05:30
2026-03-03 10:36:54 +05:30
2021-03-17 20:06:35 +05:30

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ERPNext

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Motivation

Running a business is a complex task - handling invoices, tracking stock, managing personnel, and other daily operations. In a market where software is sold separately to manage each of these tasks, ERPNext does all of the above and more, for free.

Key Features

  • Accounting: All the tools you need to manage cash flow in one place, right from recording transactions to summarizing and analyzing financial reports.
  • Order Management: Track inventory levels, replenish stock, and manage sales orders, customers, suppliers, shipments, deliverables, and order fulfillment.
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This setup is intended for quick evaluation. Expect to throw the environment away. You will not be able to install custom apps to this setup. For production deployments, custom configurations, and detailed explanations, see the full documentation.

First clone the repo:

git clone https://github.com/frappe/frappe_docker
cd frappe_docker

Then run:

docker compose -f pwd.yml up -d

Wait for a couple of minutes for ERPNext site to be created or check the create-site container logs before opening browser on port 8080. (username: Administrator, password: admin)

See Frappe Docker for ARM based docker setup

Development Setup

Manual Install

The Easy Way: our install script for bench will install all dependencies (e.g. MariaDB). See https://github.com/frappe/bench for more details.

New passwords will be created for the ERPNext "Administrator" user, the MariaDB root user, and the Frappe user (the script displays the passwords and saves them to ~/frappe_passwords.txt).

Local

To setup the repository locally follow the steps mentioned below:

  1. Setup bench by following the Installation Steps and start the server

    bench start
    
  2. In a separate terminal window, run the following commands:

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  3. Get the ERPNext app and install it

    # Get the ERPNext app
    bench get-app https://github.com/frappe/erpnext
    
    # Install the app
    bench --site erpnext.localhost install-app erpnext
    
  4. Open the URL http://erpnext.localhost:8000/app in your browser, you should see the app running

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