example scripts update 2

script_examples/download_tiles_by_identifier.csv

 pre1_pre2_starttime_pre3_pre4_tile_pre5_endtime_maxclouds_site_nom
-#~ S2A_MSIL1C_20161023T070232_N0204_R120_T39LUG_20161023T070234
-#~ S2A_MSIL1C_20160611T072212_N0202_R063_T38KLB_20160611T072355
-#~ S2A_MSIL1C_20160621T072212_N0204_R063_T38KME_20160621T072212
-#~ S2A_MSIL1C_20160608T071222_N0202_R020_T38KLV_20160608T071512
-#~ S2A_MSIL1C_20160608T071222_N0202_R020_T38KMD_20160608T071219
-#~ S2A_MSIL1C_20160621T072212_N0204_R063_T38KLF_20160621T072212
-#~ S2A_MSIL1C_20160628T071222_N0204_R020_T38JMT_20160628T071217
-#~ S2A_MSIL1C_20160611T072212_N0202_R063_T38KMC_20160611T072355
-#~ S2A_MSIL1C_20160608T071222_N0202_R020_T38KLU_20160608T071512
-#~ S2A_MSIL1C_20160628T071222_N0204_R020_T38JLT_20160628T071217
-#~ S2A_MSIL1C_20161108T072212_N0204_R063_T38KLA_20161108T072535
-#~ S2A_MSIL1C_20160516T070242_N0202_R120_T39LTG_20160516T070240
-#~ S2A_MSIL1C_20160516T070242_N0202_R120_T39LTF_20160516T070240
-#~ S2A_MSIL1C_20160516T070242_N0202_R120_T38LRK_20160516T070240
-#~ S2A_MSIL1C_20160708T071222_N0204_R020_T38LRK_20160708T071218
-#~ S2A_MSIL1C_20160715T070242_N0204_R120_T38LRL_20160715T070238
-#~ S2A_MSIL1C_20160715T070242_N0204_R120_T39LTF_20160715T070238
-#~ S2A_MSIL1C_20160830T072212_N0204_R063_T38KMG_20160830T072348
-#~ S2A_MSIL1C_20160817T071222_N0204_R020_T38LNH_20160817T071218
-#~ S2A_MSIL1C_20160817T071222_N0204_R020_T38LPJ_20160817T071218
-#~ S2A_MSIL1C_20160817T071222_N0204_R020_T38LQJ_20160817T071218
-#~ S2A_MSIL1C_20160827T071222_N0204_R020_T38LQH_20160827T071227
-#~ S2A_MSIL1C_20160827T071222_N0204_R020_T38LPH_20160827T071401
-#~ S2A_MSIL1C_20160827T071222_N0204_R020_T38LPH_20160827T071227
-#~ S2A_MSIL1C_20160830T072212_N0204_R063_T38LMH_20160830T072348
-#~ S2A_MSIL1C_20160906T071212_N0204_R020_T38LRJ_20160906T071214
-#~ S2A_MSIL1C_20160926T071212_N0204_R020_T38KMC_20160926T071210
-#~ S2A_MSIL1C_20160926T071212_N0204_R020_T38KLC_20160926T071210
-#~ S2A_MSIL1C_20161108T072212_N0204_R063_T38KLA_20161108T072535
-S2A_MSIL1C_20160830T072212_N0204_R063_T38KLE_20160830T072348
-S2A_MSIL1C_20160909T072212_N0204_R063_T38KLF_20160909T072258
-S2A_MSIL1C_20161029T072212_N0204_R063_T38KME_20161029T072230
-S2A_MSIL1C_20161003T070232_N0204_R120_T39LUC_20161003T070230
-S2A_MSIL1C_20161003T070232_N0204_R120_T39LVC_20161003T0702304
+# add below your identifier list
 S2A_MSIL1C_20161003T070232_N0204_R120_T39LUC_20161003T070230
+#~ S2A_MSIL1C_20161108T072212_N0204_R063_T38KLA_20161108T072535
+

script_examples/download_tiles_by_identifier.py

 # -*- coding:utf-8 -*-
-"""
- Télécharge les nouvelles tuiles identifiées ds le fichier tiles_file.csv
- Le delta_t permet d'alléger les requètes au serveur en n'interrogeant que les n derniers jours
- Ce but de ce script est d'être lancé très régulièrement (cron)
+
+""" 
+    Download L1C product by identifier provided by a csv file
+    
+    peps and scihub hub limits can be adjusted (line 31)
+    - usually PEPS is faster for recent data (limit max 8)
+    - scihub is better for a few months old products (limit max 2)
+    
 """
 
 import logging
 import pandas as pd
 from sen2chain import DataRequest, DownloadAndProcess, Tile
 import datetime
-import os, shutil
+import os
 import time
-import glob
-import math
-import telegram
 
-logger = logging.getLogger("Telechargement L1C")
+logger = logging.getLogger("L1C Downloading")
 logging.basicConfig(level=logging.INFO)
 
-#cwd = os.getcwd()
 fwd = os.path.dirname(os.path.realpath(__file__))
 
-# liste de tuiles à traiter
-tiles_file = fwd + "/97_01_download_tiles_identifier.csv"
-
-# default nombre de jours à requeter à partir de today
-delta_t = 15
-
-# recuperation de la liste des tuiles a telecharger
+# Tile process list
+tiles_file = fwd + "/download_tiles_by_identifier.csv"
 tiles_list = pd.read_csv(tiles_file, sep = '_', na_values="", comment='#')
 
 for index, row in tiles_list.iterrows():