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Fix spelling of InvenTree in code base (#8561)

* fix spelling of InvenTree in code

* fix spelling in frontend
This commit is contained in:
Matthias Mair
2024-11-25 22:29:47 +01:00
committed by GitHub
parent 0fa7ed2742
commit 0f194af585
18 changed files with 24 additions and 24 deletions

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@ -39,7 +39,7 @@ InvenTree allows you to upload simple BOM files in multiple formats, and downloa
## Build Parts
Inventree features a build management system to help you track the progress of your builds.
InvenTree features a build management system to help you track the progress of your builds.
Builds consume stock items to make new parts, you can decide to automatically or manually allocate parts from your current inventory.
[Read more...](./build/build.md)

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@ -61,7 +61,7 @@ A *contact* can be assigned to orders, (such as [purchase orders](./purchase_ord
A company can have multiple registered addresses for use with all types of orders.
An address is broken down to internationally recognised elements that are designed to allow for formatting an address according to user needs.
Addresses are composed differently across the world, and Inventree reflects this by splitting addresses into components:
Addresses are composed differently across the world, and InvenTree reflects this by splitting addresses into components:
- Line 1: Main street address
- Line 2: Extra street address line
- Postal Code: Also known as ZIP code, this is normally a number 3-5 digits in length

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@ -81,7 +81,7 @@ Multiple improvements have been made to the docker installation process, most no
### QR code scanner
[#2779](https://github.com/inventree/InvenTree/pull/2779) provides a QR code scanner which can be used to quickly scan Inventree generated QR codes using webcams or mobile devices. This feature requires secure (HTTPS) connection to the server.
[#2779](https://github.com/inventree/InvenTree/pull/2779) provides a QR code scanner which can be used to quickly scan InvenTree generated QR codes using webcams or mobile devices. This feature requires secure (HTTPS) connection to the server.
### Order, Order

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@ -63,7 +63,7 @@ Next you can start configuring the connection. Either use the config file or set
| `ldap.user_dn_template` | `INVENTREE_LDAP_USER_DN_TEMPLATE` | use direct bind as auth user, `ldap.bind_dn` and `ldap.bin_password` is not necessary then, e.g. `uid=%(user)s,dc=example,dc=org` |
| `ldap.global_options` | `INVENTREE_LDAP_GLOBAL_OPTIONS` | set advanced options as dict, e.g. TLS settings. For a list of all available options, see [python-ldap docs](https://www.python-ldap.org/en/latest/reference/ldap.html#ldap-options). (keys and values starting with OPT_ get automatically converted to `python-ldap` keys) |
| `ldap.search_filter_str`| `INVENTREE_LDAP_SEARCH_FILTER_STR` | LDAP search filter str, default: `uid=%(user)s` |
| `ldap.user_attr_map` | `INVENTREE_LDAP_USER_ATTR_MAP` | LDAP <-> Inventree user attribute map, can be json if used as env, in yml directly specify the object. default: `{"first_name": "givenName", "last_name": "sn", "email": "mail"}` |
| `ldap.user_attr_map` | `INVENTREE_LDAP_USER_ATTR_MAP` | LDAP <-> InvenTree user attribute map, can be json if used as env, in yml directly specify the object. default: `{"first_name": "givenName", "last_name": "sn", "email": "mail"}` |
| `ldap.always_update_user` | `INVENTREE_LDAP_ALWAYS_UPDATE_USER` | Always update the user on each login, default: `true` |
| `ldap.cache_timeout` | `INVENTREE_LDAP_CACHE_TIMEOUT` | cache timeout to reduce traffic with LDAP server, default: `3600` (1h) |
| `ldap.group_search` | `INVENTREE_LDAP_GROUP_SEARCH` | Base LDAP DN for group searching; required to enable group features |

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@ -31,7 +31,7 @@ The installer creates the following directories:
| --- | --- |
| `/etc/inventree/` | Configuration files |
| `/opt/inventree/` | InvenTree application files |
| `/opt/inventree/data/` | Inventree data files |
| `/opt/inventree/data/` | InvenTree data files |
#### Performed steps

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@ -68,7 +68,7 @@ python3 -m venv env
The virtual environment needs to be activated to ensure the correct python binaries and libraries are used. The InvenTree instructions assume that the virtual environment is always correctly activated.
To configure Inventree inside a virtual environment, ``cd`` into the inventree base directory and run the following command:
To configure InvenTree inside a virtual environment, ``cd`` into the inventree base directory and run the following command:
```
source env/bin/activate

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@ -100,4 +100,4 @@ InvenTree uses the [Redis](https://redis.io/) cache server to manage cache data.
To optimize and configure your redis deployment follow the [official docker guide](https://redis.io/docs/getting-started/install-stack/docker/#configuration).
!!! tip "Enable Cache"
While a redis container is provided in the default configuration, by default it is not enabled in the Inventree server. You can enable redis cache support by following the [caching configuration guide](./config.md#caching)
While a redis container is provided in the default configuration, by default it is not enabled in the InvenTree server. You can enable redis cache support by following the [caching configuration guide](./config.md#caching)