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Add comments on main script to make charts and excel report
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@JimmyDore
JimmyDore committed Jul 16, 2019
1 parent 6295d9e commit 8ac38f2
Showing 1 changed file with 41 additions and 37 deletions.
78 changes: 41 additions & 37 deletions labonneboite/scripts/impact_retour_emploi/make_report.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,9 @@

ALPHABET = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'

# FIXME : Refacto all files about the creation of charts and pasting on sheets (<3 Joris)


def get_infos_from_sql():
#Get all joined activity logs and dpae CLEAN and NO DUPLICATES
engine = import_util.create_sqlalchemy_engine()
Expand Down Expand Up @@ -65,54 +68,35 @@ def get_infos_from_sql():

def make_charts(df_act_dpae, idpe_connect, total_idpe_connect, total_idpe_connect_sign):

# Creation of all directory needed : We will put everything in /srv/lbb/data
# Creation of all directory needed : We will put everything in /srv/lbb/data on the server
shutil.rmtree(root_path,ignore_errors=True)
folders_to_create = [root_path, images_path, gd_pub_path, clean_path]
for folder in folders_to_create:
makedirs(folder)

# Names of different legend for Cohortes
all_the_names_1 = ("Total from activity", "Nbre_Total_DPAE", "Mois d'activité",
"Mois d'embauche", "Origine de l'Activité, en fonction du mois d'Embauche")
all_the_names_2 = ('Nbre_Total_DPAE', "Total from activity", "Mois d'embauche",
"Mois d'activité", "Nombres et Mois d'Embauche, en fonction du mois d'Activité")


def location(num_image, file_name, link=False): # Pasting of pictures
if link is True:
ws.merge_cells("A21:F21")
ws.merge_cells("G21:L21")
ws.merge_cells("M21:R21")

num_image += 3
list_abscisses = ["A", "G", "M"]
if "cohorte" in file_name:
list_abscisses = ["A", "G"]
y = (((num_image//len(list_abscisses)))*20)+1
x = list_abscisses[num_image % len(list_abscisses)]
return x+str(y)

# Write Datas and Charts in Excel :

# Initialisation
# -------------------------------------
# Initialisation of the excel sheets
sheet_names = [None, "BoxPlot + Graph",
"Détail Embauches", "Pie Charts", "Map", "Cohortes"]
sheet_sizes = [None, 5, 2, 2, 3] # Number of files per sheet (start at 0)
num_sheet = 1

# Writes raw data
# First sheet : paste raw datas of the dataframe
# -------------------------------------
wb = openpyxl.Workbook()
wb.save(root_path+'Temporaire.xlsx')
temporaire_df = pd.ExcelWriter(root_path+'Temporaire.xlsx', engine='xlsxwriter')
df_act_dpae.to_excel(temporaire_df, 'DPAE', index=False)
temporaire_df.save()
df_tmp = pd.ExcelWriter(root_path+'Temporaire.xlsx', engine='xlsxwriter')
df_act_dpae.to_excel(df_tmp, 'DPAE', index=False)
df_tmp.save()
book = openpyxl.load_workbook(root_path+'Temporaire.xlsx', data_only=True)

# Extend columns
# Enlarge the columns of the excel document first sheet
for i in range(len(df_act_dpae.columns.tolist())):
book.active.column_dimensions[ALPHABET[i]].width = 20

# Past of graphics/maps/Pie etc...
# next sheets : paste different graphics/maps/Pie/charts etc...
# ------------------------
book.create_sheet(sheet_names[num_sheet])
ws = book.worksheets[num_sheet]
dict_charts = {('01', "diff_activite_embauche_jrs", "Nombre de Jours entre l'activite sur lbb et la DPAE", "act_emb", 1): charts.BoxPlot,
Expand All @@ -127,11 +111,14 @@ def location(num_image, file_name, link=False): # Pasting of pictures
('12', "code_postal", "Part des DPAE par anciennes régions", "old_region_gd_public_svg", "old_region"): fr.map_fr,
('13', "code_postal", "Part des DPAE par nouvelles régions", "new_region_gd_public_svg", "new_region"): fr.map_fr,
('14', "code_postal", "Part des DPAE par département", "dep_gd_public_svg", "departement"): fr.map_fr,
('15', 'date_embauche', all_the_names_1, 'cohorte_1_gd_public', 'date_activite'): charts.Stacked_Bar,
('16', 'date_activite', all_the_names_2, 'cohorte_2_gd_public', 'date_embauche'): charts.Stacked_Bar}
('15', 'date_embauche', ("Total from activity", "Nbre_Total_DPAE", "Mois d'activité",
"Mois d'embauche", "Origine de l'Activité, en fonction du mois d'Embauche"), 'cohorte_1_gd_public', 'date_activite'): charts.Stacked_Bar,
('16', 'date_activite', ('Nbre_Total_DPAE', "Total from activity", "Mois d'embauche",
"Mois d'activité", "Nombres et Mois d'Embauche, en fonction du mois d'Activité"), 'cohorte_2_gd_public', 'date_embauche'): charts.Stacked_Bar}


####Boucle ? #################################################################################
# Add some important numbers on the first sheet
#------------------------------------------
# Add number of DPAE with LBB activity
nbre_DPAE = df_act_dpae['date_activite'].describe().tolist()[0]
ws.merge_cells('A4:F4')
Expand Down Expand Up @@ -180,29 +167,46 @@ def location(num_image, file_name, link=False): # Pasting of pictures
IDPE_sign_for_gd_pub = [cell_A10.value,
nbre_IDPE_sign, cell_A11.value] # for grand_public

##################################################################################################

num_im = 1
package_svg = []
all_stats = []

for args in dict_charts: # Creation and saving of charts, using charts.py
# Creation and saving of charts, using charts.py
#-----------------------------
for args in dict_charts:
if 'sql' in dict_charts[args].__name__: # choose data
data = idpe_connect
else:
data = df_act_dpae

# Creation of charts/maps in directory "images/"
image = dict_charts[args](
args[0], args[1], data, args[2], args[3], args[4]) # function
args[0], args[1], data, args[2], args[3], args[4]) # a chart function is related to each set of args

# if sem in args, function return the number of graph by "week". It means that create a new sheet is necessary
# FIXME : ??? What ???
# if sem in args, function return the number of graph by "week". It means that creating a new sheet is necessary
# if sem not in args AND image is not None, it means that the function return a list of stats (for gd_pub sheet)
if "sem" in args[3]:
sheet_sizes.insert(2, image-1)
elif image is not None:
all_stats.append(image)

# Pasting of pictures
def location(num_image, file_name, link=False):
if link is True:
ws.merge_cells("A21:F21")
ws.merge_cells("G21:L21")
ws.merge_cells("M21:R21")

num_image += 3
list_abscisses = ["A", "G", "M"]
if "cohorte" in file_name:
list_abscisses = ["A", "G"]
y = (((num_image//len(list_abscisses)))*20)+1
x = list_abscisses[num_image % len(list_abscisses)]
return x+str(y)

# Iterate through the created images
# Pasting of charts from the directory
for filename in sorted(listdir(images_path)):
Expand Down

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