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Fix spelling of InvenTree in code base (#8561)
* fix spelling of InvenTree in code * fix spelling in frontend
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@ -63,7 +63,7 @@ Next you can start configuring the connection. Either use the config file or set
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| `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` |
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| `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) |
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| `ldap.search_filter_str`| `INVENTREE_LDAP_SEARCH_FILTER_STR` | LDAP search filter str, default: `uid=%(user)s` |
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| `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"}` |
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| `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"}` |
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| `ldap.always_update_user` | `INVENTREE_LDAP_ALWAYS_UPDATE_USER` | Always update the user on each login, default: `true` |
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| `ldap.cache_timeout` | `INVENTREE_LDAP_CACHE_TIMEOUT` | cache timeout to reduce traffic with LDAP server, default: `3600` (1h) |
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| `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:
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| --- | --- |
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| `/etc/inventree/` | Configuration files |
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| `/opt/inventree/` | InvenTree application files |
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| `/opt/inventree/data/` | Inventree data files |
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| `/opt/inventree/data/` | InvenTree data files |
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#### Performed steps
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@ -68,7 +68,7 @@ python3 -m venv env
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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.
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To configure Inventree inside a virtual environment, ``cd`` into the inventree base directory and run the following command:
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To configure InvenTree inside a virtual environment, ``cd`` into the inventree base directory and run the following command:
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```
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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.
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To optimize and configure your redis deployment follow the [official docker guide](https://redis.io/docs/getting-started/install-stack/docker/#configuration).
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!!! tip "Enable Cache"
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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)
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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)
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