AgspStream
==============
Agriscope data interface for python
This module allows to get data from yours Agribases programmatically
Data are retreived as an Pandas Datagrams
The development map will introduce data computing capabilities, to enhance
data analysis comming from agricultural field.
What's New
===========
- (2023/05) v2.0.12 : - syntax error correction when something dirty is coming
- (2022/09) v2.0.10 : - add excluded_virtual_types_pattern to exclude some virtual
on demand
- Add some robust thing agains dirty event (DST switch, sensor id move)
- (2022/09) v2.0.9 : Use Https
- (2022/01) v2.0.8 : Bug correction in logger
- (2022/01) v2.0.7 : Add a retry API when something wrong seems to be there
- (2022/01) v2.0.6 : Improve capabilities to select virtual datasources to update
- (2022/01) v2.0.0 : Add capabilities to get virtual datasources
- (2021/06) v1.0.4 : Again optimize exception reporting when server is not joinable
- (2021/06) v1.0.3 : Optimize exception reporting when server is not joinable
- (2021/03) v1.0.2 : Optimize sensor data retrieving
- (2020/09) v0.0.13 : Better support of module and sensor position
- (2020/01) v0.0.12 : export some internals methods
- (2019/09) v0.0.10 : solve some display problems
- (2019/08) Porting to python 3
- (2018/05) Add functionnal information on Agribases (type, sampling)
- (2018/05) Solve bug on from, to date
- (2018/02) First version
Dependencies
=============
Agstream is written to be use with python 3
It requires Pandas (>= 0.12.0)::
pip install pandas
Installations
=============
pip install agstream
Uses cases
==========
code :
from agstream.session import AgspSession
session = AgspSession()
session.login("masnumeriqueAgStream", "1AgStream", updateAgribaseInfo=True)
session.describe()
for abs in session.agribases :
print ("****************************************")
print (abs)
df = session.getAgribaseDataframe(abs)
print (df.tail())
print("Fin du programme")
Output :
**************************************************
* Example 1 : simplest way to get data
* get the data, and feed an xlsfile
**************************************************
****************************************
Compteur Mourvedre Rang 9(2301) AGRIBASE3S_STC SIGFOX containing 3 sensors
Récuperation de 864 données
compteur d'eau alimentation #4 humectation foliaire
2021-03-28 14:18:28+02:00 0.0 3.312 0.0
2021-03-28 14:33:29+02:00 0.0 3.316 0.0
2021-03-28 14:48:29+02:00 0.0 3.318 0.0
2021-03-28 15:03:29+02:00 0.0 3.314 0.0
2021-03-28 15:18:29+02:00 0.0 3.310 0.0
Ecriture des données dans le fichier Compteur Mourvedre Rang 9.xlsx
****************************************
Debitmetre Grenache Rang 10(2299) AGRIBASE3S_STC SIGFOX containing 3 sensors
Récuperation de 39 données
humectation foliaire compteur d'eau alimentation #4
2021-03-31 11:07:31+02:00 0.0 0.0 0.000
2021-03-31 11:22:20+02:00 0.0 0.0 3.298
2021-03-31 11:37:20+02:00 0.0 0.0 3.299
2021-03-31 11:52:20+02:00 0.0 0.0 3.298
2021-03-31 12:07:20+02:00 0.0 0.0 3.301
Ecriture des données dans le fichier Debitmetre Grenache Rang 10.xlsx
Code for UTC:
from agstream.session import AgspSession
session = AgspSession(timezoneName='UTC')
session.login("masnumeriqueAgStream", "1AgStream", updateAgribaseInfo=True)
session.describe()
for abs in session.agribases :
print ("****************************************")
print (abs)
df = session.getAgribaseDataframe(abs)
print (df.tail())
print("Fin du programme")
Output :
**************************************************
* Example 1 : simplest way to get data
* get the data, and feed an xlsfile
**************************************************
****************************************
Compteur Mourvedre Rang 9(2301) AGRIBASE3S_STC SIGFOX containing 3 sensors
Récuperation de 864 données
compteur d'eau alimentation #4 humectation foliaire
2021-03-28 12:18:28+00:00 0.0 3.312 0.0
2021-03-28 12:33:29+00:00 0.0 3.316 0.0
2021-03-28 12:48:29+00:00 0.0 3.318 0.0
2021-03-28 13:03:29+00:00 0.0 3.314 0.0
2021-03-28 13:18:29+00:00 0.0 3.310 0.0
Ecriture des données dans le fichier Compteur Mourvedre Rang 9.xlsx
****************************************
Debitmetre Grenache Rang 10(2299) AGRIBASE3S_STC SIGFOX containing 3 sensors
Récuperation de 39 données
humectation foliaire compteur d'eau alimentation #4
2021-03-31 09:07:31+00:00 0.0 0.0 0.000
2021-03-31 09:22:20+00:00 0.0 0.0 3.298
2021-03-31 09:37:20+00:00 0.0 0.0 3.299
2021-03-31 09:52:20+00:00 0.0 0.0 3.298
2021-03-31 10:07:20+00:00 0.0 0.0 3.301
Ecriture des données dans le fichier Debitmetre Grenache Rang 10.xlsx
Raw data
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"description": "AgspStream\n==============\n \nAgriscope data interface for python\n\n\nThis module allows to get data from yours Agribases programmatically\nData are retreived as an Pandas Datagrams\n\nThe development map will introduce data computing capabilities, to enhance\ndata analysis comming from agricultural field.\n\n\n \n \nWhat's New\n===========\n- (2023/05) v2.0.12 : - syntax error correction when something dirty is coming\n- (2022/09) v2.0.10 : - add excluded_virtual_types_pattern to exclude some virtual\n on demand\n\t\t\t\t\t - Add some robust thing agains dirty event (DST switch, sensor id move)\n- (2022/09) v2.0.9 : Use Https\n- (2022/01) v2.0.8 : Bug correction in logger\n- (2022/01) v2.0.7 : Add a retry API when something wrong seems to be there\n- (2022/01) v2.0.6 : Improve capabilities to select virtual datasources to update\n- (2022/01) v2.0.0 : Add capabilities to get virtual datasources\n- (2021/06) v1.0.4 : Again optimize exception reporting when server is 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(abs)\n\t df = session.getAgribaseDataframe(abs)\n\t print (df.tail())\n print(\"Fin du programme\")\n\nOutput :\n\n\t**************************************************\n\t* Example 1 : simplest way to get data\n\t* get the data, and feed an xlsfile\n\t**************************************************\n\t****************************************\n\tCompteur Mourvedre Rang 9(2301) AGRIBASE3S_STC SIGFOX containing 3 sensors\n\tR\u00c3\u00a9cuperation de 864 donn\u00c3\u00a9es\n\t\t\t\t\t\t\tcompteur d'eau alimentation #4 humectation foliaire\n\t2021-03-28 14:18:28+02:00 0.0 3.312 0.0\n\t2021-03-28 14:33:29+02:00 0.0 3.316 0.0\n\t2021-03-28 14:48:29+02:00 0.0 3.318 0.0\n\t2021-03-28 15:03:29+02:00 0.0 3.314 0.0\n\t2021-03-28 15:18:29+02:00 0.0 3.310 0.0\n\tEcriture des donn\u00c3\u00a9es dans le fichier Compteur Mourvedre Rang 9.xlsx\n\t****************************************\n\tDebitmetre Grenache Rang 10(2299) AGRIBASE3S_STC SIGFOX containing 3 sensors\n\tR\u00c3\u00a9cuperation de 39 donn\u00c3\u00a9es\n\t\t\t\t\t\t\thumectation foliaire compteur d'eau alimentation #4\n\t2021-03-31 11:07:31+02:00 0.0 0.0 0.000\n\t2021-03-31 11:22:20+02:00 0.0 0.0 3.298\n\t2021-03-31 11:37:20+02:00 0.0 0.0 3.299\n\t2021-03-31 11:52:20+02:00 0.0 0.0 3.298\n\t2021-03-31 12:07:20+02:00 0.0 0.0 3.301\n\tEcriture des donn\u00c3\u00a9es dans le fichier Debitmetre Grenache Rang 10.xlsx\t\n\nCode for UTC:\n\n\tfrom agstream.session import AgspSession\n\tsession = AgspSession(timezoneName='UTC')\n\tsession.login(\"masnumeriqueAgStream\", \"1AgStream\", updateAgribaseInfo=True)\n\tsession.describe()\n\tfor abs in session.agribases :\n\t print (\"****************************************\")\n\t print (abs)\n\t df = session.getAgribaseDataframe(abs)\n\t print (df.tail())\n print(\"Fin du programme\")\n\nOutput :\n\n\t**************************************************\n\t* Example 1 : simplest way to get data\n\t* get the data, and feed an 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