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NOTAMs IVAO Colombia

This is the repository for the Colombian Division NOTAM system. Where it's feeded manually and automatically fetched into our database where NOTAMs that enhance simulation are selected for deploy at IVAO.

This tool helps ATC Ops staff to make this process easier.

The following list includes the airports we are fetching NOTAMs from our source:

SKED, SKEC, SKBO, SKRG, SKCG, SKCL, SKBQ, SKSP, SKSM, SKPE, SKBG, SKMD, SKMR, SKCC, SKVP, SKAR, SKUI, SKYP, SKPS, SKNV, SKLT, SKMZ, SKIB, SKLC, SKVV, SKRH, SKCO, SKEJ, SKUC, SKPP, SKFL, SKCZ, SKAS, SKPG, SKBS, SKCU, SKPD, SKMU, SKPV, SKPC, SKLM, SKNA, SKNQ, SKGP, SKVG, SKSJ, SKSA, SKPB, SKIP, SKPI, SKLG

Warning

The app makes extensive use of PyNotam - Parser that was modified to this purpose. NOT ALL NOTAMS WORK WITH THIS PARSER, THIS MIGHT BE AN ISSUE FOR SOME COUNTRIES' NOTAMs

Caution

At this time, I was not able to create an .exe or .dmg/.app for W11/MacOS. The only way to use it is by running the Python script. Make sure to have requirements.txt installed. Check Installation instructions below.

Usage

image

  1. Run NIC_GUI.py
  2. At first you will need to feed the database by importing a .xls file with the NOTAMs (see example).
  3. You will have to select which NOTAMs you want to export to Scripts/Output/Selection_Result.csv. There you will find copy-paste solutions to integrate them on IVAO's Database.

Tip

You will end up with the following fields at the .csv:

LTA_CODE CENTER LOCATION StartTime ExpirationTime Description Polygon
A2135/24 SKEC SKCG 2409231130 2412232330 --- Raw NOTAM ---
A2135/24 NOTAMN
Q) SKEC/QOBCE/IV/M/AE/000/001/1026N07530W010
A) SKCG B) 2409231130 C) 2412232330
D) 1130-2330
E) OBST INSTL, BACKHOE LOADER, HGT 20FT/6M, ELEV 66FT AMSL
COORD 102546.42N0753053.14W

--- Decoded NOTAM ---
NOTAM A2135/24
Affects: SKCG
From: 2024-09-23 11:30
To: 2024-12-23 23:30
Description:
Obstacle Installation, BACKHOE LOADER, Height 20FT/6M, Elevation 66FT AMSL
Coordinates 102546.42N0753053.14W		 10.69209:-75.51278
10.56707:-75.29258
10.31702:-75.29258
10.19199:-75.51278
10.31702:-75.73297
10.56707:-75.73297
10.69209:-75.51278

The GUI:

  1. Landing page

image

  1. Upload NOTAMs Drop only .xls files (see example)

image

  1. Select NOTAMs

    Input a string of NOTAMs such as A2610/24,A2497/24,A2134/24,A1743/24,A1253/24 you can use [,], [:], [;], [ ] as delimiters. Those NOTAMs are the ones going to be on your output .csv file. When you have your selection ready, click ‹‹EXECUTE›› then ‹‹OPEN .CSV››

image

  1. Parser - Decoder

    You can decode NOTAMs individually only for the Description field by inputting only one NOTAM code.

image

  1. Hexagon Creator

    For every Airport, a Hexagon Polygon is goint to be created for every selected NOTAM, this action can be performed individually if you wish, by inputting your ICAO code of the airport (case-sensitive).

image

  1. Other This section is still under construction and only ‹‹DELETE ALL_NOTAMS›› works for now. (This will delete your NOTAMs Database)

image

Instalation

This app has a GUI interface (see requirements.txt) for the necessary packages.

Run:

pip install -r requirements.txt

About the Database

The database is stored locally on Data/notams_database.db and was created by using

CREATE TABLE ALL_NOTAMS (
        Location TEXT,
        NOTAM_LTA_Number TEXT,
        Class TEXT,
        Issue_Date_UTC TEXT,
        Effective_Date_UTC TEXT,
        Expiration_Date_UTC TEXT,
        NOTAM_Condition_Subject_Title TEXT
    )

CREATE TABLE Displayed_NOTAMS (
        Location TEXT,
        NOTAM_LTA_Number TEXT,
        Class TEXT,
        Issue_Date_UTC TEXT,
        Effective_Date_UTC TEXT,
        Expiration_Date_UTC TEXT,
        NOTAM_Condition_Subject_Title TEXT,
        Remark TEXT,
        POLYGON TEXT
    )

Customization

Tip

Customization: This software has been heavily optimized for the Colombian Airspace (Where Airports Scripts\Resources\sk_airports.csv which has been imported using the IAB tool. Also definitions about Airspace and Airports were made on the following files:

  • Scripts/NIC_Functions/Select_Out_NOTAMs.py : CENTER_MAPPING, AIRPORTS, CENTER.
  • Scripts/Resources : SKED.txt, SKEC.txt

For Select_Out_NOTAMs.py

Note

Example of Select_Out_NOTAMs.py:

CENTER_MAPPING = {
   'SKEC': ['SKEC', 'SKAG', 'SKBC', 'SKBQ', 'SKBR', 'SKCB', 'SKCG', 'SKCU', 'SKCV', 'SKCZ', 'SKFU', 'SKLM', 'SKMG',
            'SKMJ', 'SKML', 'SKMP', 'SKMR', 'SKNC', 'SKOC', 'SKPB', 'SKRH', 'SKSM', 'SKSR', 'SKTB', 'SKTL', 'SKVP'],
   'MPZL': ['SKSP'],
   'SKED': ['SKED', 'SKAC', 'SKAD', 'SKAM', 'SKAP', 'SKAR', 'SKAS', 'SKBG', 'SKBO', 'SKBS', 'SKBU', 'SKCC', 'SKCD',
            'SKCL', 'SKCM', 'SKCN', 'SKCO', 'SKCR', 'SKEB', 'SKEJ', 'SKFL', 'SKFR', 'SKGB', 'SKGI', 'SKGO', 'SKGP',
            'SKGY', 'SKGZ', 'SKHA', 'SKHC', 'SKHZ', 'SKIB', 'SKIG', 'SKIP', 'SKJC', 'SKLA', 'SKLC', 'SKLG', 'SKLP',
            'SKLT', 'SKMA', 'SKMD', 'SKME', 'SKMF', 'SKMN', 'SKMO', 'SKMU', 'SKMZ', 'SKNA', 'SKNQ', 'SKNV', 'SKOC',
            'SKOE', 'SKOT', 'SKPA', 'SKPC', 'SKPD', 'SKPE', 'SKPG', 'SKPI', 'SKPN', 'SKPP', 'SKPQ', 'SKPR', 'SKPS',
            'SKPZ', 'SKQU', 'SKRG', 'SKSA', 'SKSF', 'SKSG', 'SKSJ', 'SKSO', 'SKSV', 'SKTD', 'SKTI', 'SKTJ', 'SKTM',
            'SKTQ', 'SKTU', 'SKUA', 'SKUC', 'SKUI', 'SKUL', 'SKUR', 'SKVG', 'SKVN', 'SKVV', 'SKYP', 'SQUJ']
}

# Airports list for hexagon generation
AIRPORTS = ['SKSP', 'SKAG', 'SKBC', 'SKBQ', 'SKBR', 'SKCB', 'SKCG', 'SKCU', 'SKCV', 'SKCZ', 'SKFU', 'SKLM', 'SKMG', 'SKMJ',
           'SKML', 'SKMP', 'SKMR', 'SKNC', 'SKOC', 'SKPB', 'SKRH', 'SKSM', 'SKSR', 'SKTB', 'SKTL', 'SKVP', 'SKAC', 'SKAD',
           'SKAM', 'SKAP', 'SKAR', 'SKAS', 'SKBG', 'SKBO', 'SKBS', 'SKBU', 'SKCC', 'SKCD', 'SKCL', 'SKCM', 'SKCN', 'SKCO',
           'SKCR', 'SKEB', 'SKEJ', 'SKFL', 'SKFR', 'SKGB', 'SKGI', 'SKGO', 'SKGP', 'SKGY', 'SKGZ', 'SKHA', 'SKHC', 'SKHZ',
           'SKIB', 'SKIG', 'SKIP', 'SKJC', 'SKLA', 'SKLC', 'SKLG', 'SKLP', 'SKLT', 'SKMA', 'SKMD', 'SKME', 'SKMF', 'SKMN',
           'SKMO', 'SKMU', 'SKMZ', 'SKNA', 'SKNQ', 'SKNV', 'SKOC', 'SKOE', 'SKOT', 'SKPA', 'SKPC', 'SKPD', 'SKPE', 'SKPG',
           'SKPI', 'SKPN', 'SKPP', 'SKPQ', 'SKPR', 'SKPS', 'SKPZ', 'SKQU', 'SKRG', 'SKSA', 'SKSF', 'SKSG', 'SKSJ', 'SKSO',
           'SKSV', 'SKTD', 'SKTI', 'SKTJ', 'SKTM', 'SKTQ', 'SKTU', 'SKUA', 'SKUC', 'SKUI', 'SKUL', 'SKUR', 'SKVG', 'SKVN',
           'SKVV', 'SKYP', 'SQUJ', 'SKED', 'SKEC']

CENTER = ['SKEC', 'SKED']

Caution

See how on CENTER_MAPPING Centers are also inside the dictionary.

At \Script\Resources.py

Note

Some .txt files have to be made in order to allow Select_Out_NOTAMs.py to work properly. This files have to be named as the same CENTERS referenced above such as:

CENTER = ['SKEC', 'SKED']

Examples are provided on this repository. In IVAO we might use .pvf files for polygons which have a format of:

N0043150 W0825449
N0012450 W0825459
N0012500 W0785939
N0043150 W0825449

Those are in the format of LAT LON being:

LAT: N0043150 -> N 004º 31' 50"
LON: W0825449 -> W 082º 54' 49"

Also on that directory Scripts/Resources/coord_conv.py there's a tool to convert coordinates from that format to webeye's

Caution

On your .pvf file you have to close the polygon -The starting coordinate has to be the same at the end-

Caution

The output file has to be named as the center name (Case-sensitive). SKED -> SKED.txt. Because this will be the polygon that is going to be on the Scripts/Output/Selection_Result.csv output.

Made with ❤ by 657678