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Initial commit: OCA Technical packages (595 packages)
This commit is contained in:
Ernad Husremovic
commit
2cc02aac6e
24950 changed files with 2318079 additions and 0 deletions
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# Copyright 2017-20 ForgeFlow S.L. (https://www.forgeflow.com)
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# License LGPL-3.0 or later (https://www.gnu.org/licenses/lgpl.html).
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import json
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import logging
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from math import pi
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from odoo import _, fields, models
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_logger = logging.getLogger(__name__)
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try:
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import numpy as np
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import pandas as pd
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from bokeh.embed import components
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from bokeh.models import DatetimeTickFormatter, HoverTool
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from bokeh.plotting import figure
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except (ImportError, IOError) as err:
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_logger.debug(err)
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class StockBuffer(models.Model):
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_inherit = "stock.buffer"
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planning_history_chart = fields.Text(
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string="Historical Chart",
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compute="_compute_history_chart",
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)
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execution_history_chart = fields.Text(
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string="Execution Historical Chart",
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compute="_compute_execution_history_chart",
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)
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def _prepare_history_data(self):
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self.ensure_one()
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data = {
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"buffer_id": self.id,
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"date": fields.Datetime.now(),
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"top_of_red": self.top_of_red,
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"top_of_yellow": self.top_of_yellow,
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"top_of_green": self.top_of_green,
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"net_flow_position": self.net_flow_position,
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"on_hand_position": self.product_location_qty_available_not_res,
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"adu": self.adu,
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}
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return data
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def cron_actions(self, only_nfp=False):
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res = super().cron_actions(only_nfp=only_nfp)
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data = self._prepare_history_data()
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if not self.env.context.get("no_ddmrp_history"):
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self.env["ddmrp.history"].sudo().create(data)
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return res
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def _compute_history_chart(self):
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def stacked(df, categories):
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areas = {}
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last = np.zeros(len(df[categories[0]]))
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for cat in categories:
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_next = last + df[cat]
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areas[cat] = np.hstack((last[::-1], _next))
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last = _next
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return areas
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hex_colors = self._get_colors_hex_map(pallete="planning")
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planning_colors = [
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hex_colors["1_red"],
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hex_colors["2_yellow"],
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hex_colors["3_green"],
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]
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for rec in self:
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history = self.env["ddmrp.history"].search(
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[("buffer_id", "=", rec.id)], order="date"
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)
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if len(history) < 2:
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rec.planning_history_chart = json.dumps(
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{
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"div": _("Not enough data available."),
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"script": "",
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}
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)
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continue
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N = len(history)
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categories = ["top_of_red", "top_of_yellow", "top_of_green"]
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data = {}
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dates = [r.date for r in history]
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data["date"] = dates
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data[categories[0]] = [r.top_of_red for r in history]
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data[categories[1]] = [r.top_of_yellow - r.top_of_red for r in history]
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data[categories[2]] = [r.top_of_green - r.top_of_yellow for r in history]
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data["net_flow_position"] = [r.net_flow_position for r in history]
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data["on_hand_position"] = [r.on_hand_position for r in history]
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df = pd.DataFrame(data)
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df = df.set_index(["date"])
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areas = stacked(df, categories)
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x2 = np.hstack((data["date"][::-1], data["date"]))
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tops = [
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data[categories[0]][i] + data[categories[1]][i] + data[categories[2]][i]
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for i in range(N)
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] + [max(data["on_hand_position"]), max(data["net_flow_position"])]
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top_y = max(tops)
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min_y = min(
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[0, min(data["on_hand_position"]), min(data["net_flow_position"])]
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)
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if top_y <= min_y:
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top_y = min_y + 100
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p = figure(
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frame_height=400,
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x_range=(dates[0], dates[-1]),
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y_range=(min_y, top_y),
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x_axis_type="datetime",
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)
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p.sizing_mode = "stretch_width"
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p.toolbar.logo = None
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p.grid.minor_grid_line_color = "#eeeeee"
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p.patches(
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[x2] * len(areas),
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[areas[cat] for cat in categories],
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color=planning_colors,
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alpha=0.8,
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line_color=None,
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)
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date_format = (
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self.env["res.lang"]._lang_get(self.env.lang or "en_US").date_format
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)
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p.xaxis.formatter = DatetimeTickFormatter(
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hours=date_format,
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days=date_format,
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months=date_format,
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years=date_format,
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)
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p.xaxis.major_label_orientation = pi / 4
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p.xaxis.axis_label_text_font = "helvetica"
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unit = rec.product_uom.name
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hover = HoverTool(
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tooltips=[("qty", "$y %s" % unit)], point_policy="follow_mouse"
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)
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p.add_tools(hover)
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p.line(dates, data["net_flow_position"], line_width=3)
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p.line(dates, data["on_hand_position"], line_width=3, line_dash="dotted")
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script, div = components(p, wrap_script=False)
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json_data = json.dumps(
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{
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"div": div,
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"script": script,
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}
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)
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rec.planning_history_chart = json_data
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def _compute_execution_history_chart(self):
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start_stack = 0
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def stacked(df, categories):
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areas = {}
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last = np.zeros(len(df[categories[0]]))
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last += start_stack
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for cat in categories:
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_next = last + df[cat]
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areas[cat] = np.hstack((last[::-1], _next))
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last = _next
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return areas
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hex_colors = self._get_colors_hex_map(pallete="execution")
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execution_colors = [
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hex_colors["0_dark_red"],
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hex_colors["1_red"],
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hex_colors["2_yellow"],
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hex_colors["3_green"],
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hex_colors["2_yellow"],
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hex_colors["1_red"],
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hex_colors["0_dark_red"],
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]
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history_model = self.env["ddmrp.history"]
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for rec in self:
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domain = [("buffer_id", "=", rec.id)]
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history_oh = history_model.search(
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domain, order="on_hand_position desc", limit=1
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)
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history_tog = history_model.search(
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domain + [("top_of_green", "!=", False)],
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order="top_of_green desc",
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limit=1,
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)
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finish_stack = max(history_oh.on_hand_position, history_tog.top_of_green)
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history = history_model.search(
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domain, order="on_hand_position asc", limit=1
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)
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start_stack = history.on_hand_position
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if start_stack >= 0.0:
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start_stack = 0.0
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history = history_model.search(domain, order="date")
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if len(history) < 2:
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rec.execution_history_chart = json.dumps(
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{
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"div": _("Not enough data available."),
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"script": "",
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}
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)
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continue
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N = len(history)
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categories = [
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"dark_red_low",
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"top_of_red_low",
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"top_of_yellow_low",
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"top_of_green",
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"top_of_yellow",
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"top_of_red",
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"dark_red",
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]
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data = {}
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dates = [r.date for r in history]
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data["date"] = dates
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data[categories[0]] = [(0 - start_stack) for r in history]
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data[categories[1]] = [(r.top_of_red / 2) for r in history]
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data[categories[2]] = [(r.top_of_red / 2) for r in history]
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data[categories[3]] = [r.top_of_green - r.top_of_yellow for r in history]
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data[categories[4]] = [
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(r.top_of_green - r.top_of_red - (r.top_of_green - r.top_of_yellow)) / 2
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for r in history
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]
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data[categories[5]] = [
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(r.top_of_green - r.top_of_red - (r.top_of_green - r.top_of_yellow)) / 2
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for r in history
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]
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data[categories[6]] = [
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finish_stack
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- r.top_of_red
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- (r.top_of_green - r.top_of_yellow)
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- (r.top_of_green - r.top_of_red - (r.top_of_green - r.top_of_yellow))
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for r in history
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]
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data["on_hand_position"] = [r.on_hand_position for r in history]
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df = pd.DataFrame(data)
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df = df.set_index(["date"])
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areas = stacked(df, categories)
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x2 = np.hstack((data["date"][::-1], data["date"]))
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tops = [
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data[categories[0]][i]
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+ data[categories[1]][i]
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+ data[categories[2]][i]
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+ data[categories[3]][i]
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+ data[categories[4]][i]
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+ data[categories[5]][i]
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+ data[categories[6]][i]
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for i in range(N)
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]
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top_y = max(tops)
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p = figure(
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frame_height=400,
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x_range=(dates[0], dates[-1]),
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y_range=(start_stack, top_y or 100),
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x_axis_type="datetime",
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)
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p.sizing_mode = "stretch_width"
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p.toolbar.logo = None
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p.grid.minor_grid_line_color = "#eeeeee"
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p.patches(
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[x2] * len(areas),
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[areas[cat] for cat in categories],
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color=execution_colors,
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alpha=0.8,
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line_color=None,
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)
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date_format = (
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self.env["res.lang"]._lang_get(self.env.lang or "en_US").date_format
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)
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p.xaxis.formatter = DatetimeTickFormatter(
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hours=date_format,
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days=date_format,
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months=date_format,
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years=date_format,
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)
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p.xaxis.major_label_orientation = pi / 4
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unit = rec.product_uom.name
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hover = HoverTool(
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tooltips=[("qty", "$y %s" % unit)], point_policy="follow_mouse"
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)
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p.add_tools(hover)
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p.line(dates, data["on_hand_position"], line_width=3, line_dash="dotted")
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script, div = components(p, wrap_script=False)
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json_data = json.dumps(
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{
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"div": div,
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"script": script,
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}
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)
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rec.execution_history_chart = json_data
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