Flamyngo is a customizable Flask frontend for MongoDB.
Project description
# Flamyngo
Flamyngo is a customizable Flask frontend for MongoDB.
At the most basic level, the aim is to delegate most settings to a YAML
configuration file, which then allows the underlying code to be reused for
any conceivable collection.
# Usage
Clone or download the code. Install it if you wish.
In the root directory, run:
```bash
python scripts/flm --config <path/to/config.yaml>
```
If `--config` is not provided, it defaults to `$HOME/.flamyngo.yaml`.
# Configuration
A sample commented configuration yaml file is given below.
```yaml
# MongoDB settings
db:
host: mongo.host.com
port: 27017
username: user
password: password
database: mydb
# List of collection settings. Note that more than one collection is supported,
# though only one collection can be queried at any one time.
collections:
-
name: mycoll
# These set the special queries as an ordered list of [<key>, <regex string>, <type>].
# If the query string satisfies any of the regex, the Mongo query is set as
# {<key>: type(<search_string>)}. This allows for much more friendly setups for common
# queries that do not require a user to type in verbose Mongo criteria. Each
# regex should be uniquely identifying.
# Types can be any kind of callable function that takes in a string and return
# a value without other arguments. E.g., int, str, float, etc. You can support
# more powerful conversions by writing your own processing function, e.g.,
# mymodule.convert_degress_to_radians.
# If none of the regex works, the criteria is interpreted as a Mongo-like dict query.
query:
- [last_name, '^[A-Za-z]+$', str]
- [phone_number, '^[0-9]+$', int]
# A default list of projection key, processing function to display as a table.
# Again, processing function can be any callable, and you can define your own.
# For example, you can take in a float and render it as a fixed decimal.
summary:
- [_id, str]
- [first_name, str]
- [last_name, str]
- [phone_number, str]
# The following defines unique identifiers for each doc. This allows each
# specific doc to be queried and displayed using this key. If this key is
# present in the default list of projections, a link will be created to each
# unique document.
unique_key: _id
unique_key_type: bson.objectid.ObjectId
# Basic auth can be set up by specifying user and password below. If these are not
# set, then no authentication.
AUTH_USER: Iam
AUTH_PASSWD: Pink
```
Flamyngo is a customizable Flask frontend for MongoDB.
At the most basic level, the aim is to delegate most settings to a YAML
configuration file, which then allows the underlying code to be reused for
any conceivable collection.
# Usage
Clone or download the code. Install it if you wish.
In the root directory, run:
```bash
python scripts/flm --config <path/to/config.yaml>
```
If `--config` is not provided, it defaults to `$HOME/.flamyngo.yaml`.
# Configuration
A sample commented configuration yaml file is given below.
```yaml
# MongoDB settings
db:
host: mongo.host.com
port: 27017
username: user
password: password
database: mydb
# List of collection settings. Note that more than one collection is supported,
# though only one collection can be queried at any one time.
collections:
-
name: mycoll
# These set the special queries as an ordered list of [<key>, <regex string>, <type>].
# If the query string satisfies any of the regex, the Mongo query is set as
# {<key>: type(<search_string>)}. This allows for much more friendly setups for common
# queries that do not require a user to type in verbose Mongo criteria. Each
# regex should be uniquely identifying.
# Types can be any kind of callable function that takes in a string and return
# a value without other arguments. E.g., int, str, float, etc. You can support
# more powerful conversions by writing your own processing function, e.g.,
# mymodule.convert_degress_to_radians.
# If none of the regex works, the criteria is interpreted as a Mongo-like dict query.
query:
- [last_name, '^[A-Za-z]+$', str]
- [phone_number, '^[0-9]+$', int]
# A default list of projection key, processing function to display as a table.
# Again, processing function can be any callable, and you can define your own.
# For example, you can take in a float and render it as a fixed decimal.
summary:
- [_id, str]
- [first_name, str]
- [last_name, str]
- [phone_number, str]
# The following defines unique identifiers for each doc. This allows each
# specific doc to be queried and displayed using this key. If this key is
# present in the default list of projections, a link will be created to each
# unique document.
unique_key: _id
unique_key_type: bson.objectid.ObjectId
# Basic auth can be set up by specifying user and password below. If these are not
# set, then no authentication.
AUTH_USER: Iam
AUTH_PASSWD: Pink
```
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
flamyngo-0.3.0.tar.gz
(13.4 kB
view details)
Built Distribution
flamyngo-0.3.0-py27-none-any.whl
(15.7 kB
view details)
File details
Details for the file flamyngo-0.3.0.tar.gz.
File metadata
- Download URL: flamyngo-0.3.0.tar.gz
- Upload date:
- Size: 13.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 673b1c129ed51777ca3ce5ae68cabdb44e7572f110a0796bd108ba141272eb3a |
|
| MD5 | d275f6df8b6182f76afe4f3d0096abc6 |
|
| BLAKE2b-256 | 072c11219865d7e2fccdd3e17dcbdc235962f75819c26fa92e519345ed3b0023 |
File details
Details for the file flamyngo-0.3.0-py27-none-any.whl.
File metadata
- Download URL: flamyngo-0.3.0-py27-none-any.whl
- Upload date:
- Size: 15.7 kB
- Tags: Python 2.7
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 071b235de7727e9b0c15e523b85495ad618abf4f80fe63196bb55532f01609c0 |
|
| MD5 | c64cecfdc73ba48efdfd2b3d84bed604 |
|
| BLAKE2b-256 | 4083a91c9109a1f574ab1cb61e3e885cbac01e6d02cdaadf3cdd17f3bb53f629 |
